{"id":74,"date":"2022-12-26T19:02:39","date_gmt":"2022-12-26T11:02:39","guid":{"rendered":"http:\/\/106.52.213.145:21080\/?p=74"},"modified":"2023-02-16T02:53:17","modified_gmt":"2023-02-15T18:53:17","slug":"ydbjgxygtxmbjcsfzs1","status":"publish","type":"post","link":"https:\/\/apifj.com\/index.php\/2022\/12\/26\/ydbjgxygtxmbjcsfzs1\/","title":{"rendered":"[\u9605\u8bfb\u7b14\u8bb0] \u5149\u5b66\u9065\u611f\u56fe\u50cf\u76ee\u6807\u68c0\u6d4b\u7b97\u6cd5\u7efc\u8ff0\uff08\u4e00\uff09"},"content":{"rendered":"

\u5149\u5b66\u9065\u611f\u56fe\u50cf\u76ee\u6807\u68c0\u6d4b\u7b97\u6cd5\u7efc\u8ff0\uff08\u4e00\uff09<\/h1>\n

\u539f\u6587pdf\u4e0b\u8f7d\uff1a\u4e0b\u8f7d\u94fe\u63a5<\/a>
\n\u672c\u6587\u5bf9\u5149\u5b66\u9065\u611f\u56fe\u50cf\u4e2d\u901a\u7528\u76ee\u6807\u68c0\u6d4b\u65b9\u6cd5\u8fdb\u884c\u5168\u9762\u3001\u7ec6\u81f4\u7684\u68b3\u7406, \u65e2\u5305\u62ec\u65e9\u671f\u57fa\u4e8e\u624b\u5de5\u8bbe\u8ba1\u7279\u5f81\u7684\u65b9\u6cd5, \u4e5f\u5305\u62ec\u5f53\u524d\u6df1\u5ea6\u5b66\u4e60\u7684\u65b9\u6cd5, \u540c\u65f6\u91cd\u70b9\u5bf9\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u65b9\u6cd5\u53ca\u5176\u9488\u5bf9\u9065\u611f\u56fe\u50cf\u7279\u70b9\u7684\u6539\u8fdb\u8fdb\u884c\u66f4\u4e3a\u7cbe\u7ec6\u7684\u68b3\u7406, \u6b64\u5916\u8fd8\u989d\u5916\u8bc4\u4f30\u5404\u4e2a\u6539\u8fdb\u65b9\u6cd5\u7684\u6027\u80fd\u5b9a\u91cf\u6539\u5584, \u5e76\u6839\u636e\u8bc4\u4f30\u7ed3\u679c\u6307\u51fa\u73b0\u5b58\u7684\u95ee\u9898\u548c\u672a\u6765\u7684\u53d1\u5c55\u65b9\u5411.<\/p>\n

\u6982\u8981<\/h2>\n

\u5b9a\u4e49\uff1a\u5149\u5b66\u9065\u611f\u56fe\u50cf\u76ee\u6807\u68c0\u6d4b\u662f\u6307\u5229\u7528\u7279\u5b9a\u7684\u7b97\u6cd5\u4ece\u56fe\u50cf\u4e2d\u641c\u7d22\u5e76\u6807\u8bb0\u51fa\u611f\u5174\u8da3\u7684\u76ee\u6807, \u4f8b\u5982\u98de\u673a\u3001\u5766\u514b\u3001\u8239\u53ea\u3001\u8f66\u8f86\u7b49.<\/p>\n

\u65e9\u671f\u57fa\u4e8e\u624b\u5de5\u8bbe\u8ba1\u7279\u5f81\u7684\u65b9\u5f0f<\/h3>\n

\uff081\uff09\u6d41\u7a0b\uff1a\u63d0\u53d6\u5019\u9009\u533a\u57df => \u4eba\u5de5\u8bbe\u8ba1\u7279\u5f81 => \u5206\u7c7b\u5668\u5206\u7c7b<\/p>\n

\uff082\uff09\u7f3a\u70b9\uff1a\u9700\u8981\u8bbe\u7f6e\u5927\u91cf\u7684\u6ed1\u52a8 \u7a97\u53e3, \u4ea7\u751f\u5927\u91cf\u7684\u5197\u4f59\u8ba1\u7b97, \u65f6\u95f4\u590d\u6742\u5ea6\u9ad8\uff0c\u7279\u5f81\u8868\u8fbe\u80fd\u529b\u5f31\u3001 \u9c81\u68d2\u6027\u5dee\u3001\u9002\u5e94\u8303\u56f4\u5c0f\u3002<\/p>\n

\uff083\uff09 \u4f18\u70b9\uff1a\u53ef\u89e3\u91ca\u6027\u8f83\u5f3a
\n(4) \u533a\u522b\uff1a
\n1.\u4eba\u5de5\u8bbe\u8ba1\u7684\u7279\u5f81\u63d0\u53d6\u65b9\u5f0f\u901a\u5e38\u662f\u901a\u8fc7\u624b\u52a8\u9009\u62e9\u3001\u8bbe\u8ba1\u548c\u63d0\u53d6\u5177\u6709\u4ee3\u8868\u6027\u7684\u7279\u5f81\uff0c\u7136\u540e\u5c06\u8fd9\u4e9b\u7279\u5f81\u8f93\u5165\u5230\u4f20\u7edf\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff08\u5982SVM\uff0c\u968f\u673a\u68ee\u6797\u7b49\uff09\u4e2d\u8fdb\u884c\u5206\u7c7b\u6216\u56de\u5f52\u7b49\u4efb\u52a1\u3002\u8fd9\u79cd\u65b9\u6cd5\u9700\u8981\u5927\u91cf\u7684\u9886\u57df\u77e5\u8bc6\u548c\u7ecf\u9a8c\uff0c\u5e76\u4e14\u901a\u5e38\u5bf9\u4e8e\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\u9700\u8981\u91cd\u65b0\u8bbe\u8ba1\u548c\u8c03\u6574\u7279\u5f81\u63d0\u53d6\u65b9\u6cd5\uff0c\u56e0\u6b64\u6bd4\u8f83\u8d39\u65f6\u8d39\u529b\u3002
\n2.\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u76ee\u6807\u68c0\u6d4b\u901a\u5e38\u91c7\u7528\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u6765\u7aef\u5230\u7aef\u5730\u5b66\u4e60\u7279\u5f81\u8868\u793a\u548c\u76ee\u6807\u68c0\u6d4b\u4efb\u52a1\u3002\u6df1\u5ea6\u5b66\u4e60\u53ef\u4ee5\u901a\u8fc7\u5927\u89c4\u6a21\u7684\u6570\u636e\u548c\u81ea\u9002\u5e94\u7684\u4f18\u5316\u7b97\u6cd5\u6765\u5b66\u4e60\u5177\u6709\u4ee3\u8868\u6027\u7684\u7279\u5f81\uff0c\u4ece\u800c\u907f\u514d\u4e86\u624b\u52a8\u7279\u5f81\u63d0\u53d6\u7684\u7e41\u7410\u8fc7\u7a0b\u3002\u6b64\u5916\uff0c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u53ef\u4ee5\u901a\u8fc7\u4fee\u6539\u7f51\u7edc\u7ed3\u6784\u6765\u9002\u5e94\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\uff0c\u540c\u65f6\u4e5f\u5177\u6709\u5f88\u5f3a\u7684\u901a\u7528\u6027\u3002<\/p>\n\n\n\n\n\n\n\n\n\n
\u8bba\u6587<\/th>\n\u5185\u5bb9<\/th>\n<\/tr>\n<\/thead>\n
[1]\u738b\u5f66\u60c5, \u9a6c\u96f7, \u7530\u539f. \u5149\u5b66\u9065\u611f\u56fe\u50cf\u8230\u8239\u76ee\u6807\u68c0\u6d4b\u4e0e\u8bc6\u522b\u7efc\u8ff0. \u81ea\u52a8\u5316\u5b66\u62a5, 2011, 37<\/strong>(9): 1029\u22121039<\/td>\n\u4e3b\u8981\u9488\u5bf9\u6d77\u4e0a\u7279\u5b9a\u76ee\u6807 (\u8230\u8239) \u68c0\u6d4b\u8fdb\u884c\u603b\u7ed3\u68b3\u7406<\/td>\n<\/tr>\n
[2] Cheng G, Han J W. A survey on object detection in optical re- mote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 117<\/strong>: 11\u221228<\/td>\n\u603b\u7ed3\u4e86\u73b0\u9636\u6bb5\u9065\u611f\u56fe\u50cf\u901a\u7528\u76ee\u6807\u68c0\u6d4b\u65b9\u6cd5<\/td>\n<\/tr>\n
[3]\u5218\u5c0f\u6ce2, \u5218\u9e4f, \u8521\u4e4b\u534e, \u4e54\u79b9\u9716, \u738b\u51cc, \u6c6a\u654f. \u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u5149 \u5b66\u9065\u611f\u56fe\u50cf\u76ee\u6807\u68c0\u6d4b\u7814\u7a76\u8fdb\u5c55. \u81ea\u52a8\u5316\u5b66\u62a5, DOI: 10.16383\/ j.aas.c190455<\/td>\n\u4e13\u95e8\u68b3\u7406\u4e86\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u5149\u5b66\u9065\u611f\u56fe\u50cf\u76ee\u6807\u68c0\u6d4b\u7814\u7a76<\/td>\n<\/tr>\n
[4] Li K, Wan G, Cheng G, Meng L Q, Han J W. Object detec- tion in optical remote sensing images: A survey and a new benchmark. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 159<\/strong>: 296\u2212307<\/td>\n\u4e13\u95e8\u68b3\u7406\u4e86\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u5149\u5b66\u9065\u611f\u56fe\u50cf\u76ee\u6807\u68c0\u6d4b\u7814\u7a76<\/td>\n<\/tr>\n
[5] \u5f20\u53f7\u9035, \u674e\u6620, \u59dc\u6654\u6960. \u6df1\u5ea6\u5b66\u4e60\u5728\u9ad8\u5149\u8c31\u56fe\u50cf\u5206\u7c7b\u9886\u57df\u7684\u7814\u7a76\u73b0\u72b6\u4e0e\u5c55\u671b. \u81ea\u52a8\u5316\u5b66\u62a5, 2018, 44<\/strong>(6): 961\u2212977<\/td>\n\u68b3\u7406\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u5206\u7c7b\u65b9\u6cd5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

1.\u9065\u611f\u56fe\u50cf\u76ee\u6807\u68c0\u6d4b\u7684\u7279\u70b9\u4e0e\u6311\u6218<\/h2>\n

\u8868\u73b0\u4e0d\u7406\u60f3\u539f\u56e0\uff1a\u9065\u611f\u56fe\u50cf\u81ea\u8eab\u7684\u7279\u70b9\u4e3a\u76ee\u6807\u68c0\u6d4b\u5e26\u6765\u4e86\u8f83\u5927\u7684\u96be\u5ea6\u548c\u6311\u6218.<\/p>\n

\u96be\u70b9\uff1a<\/p>\n

\uff081\uff09\u8d85\u5927\u56fe\u50cf\u5c3a\u5bf8 \uff082\uff09\u65b9\u5411\u53d8\u5316\u5927 \uff083\uff09\u5c0f\u76ee\u6807\u89c4\u6a21\u5927<\/p>\n

\uff084\uff09\u76ee\u6807\u5206\u5e03\u5bc6\u96c6 \uff085\uff09\u76ee\u6807\u5f62\u72b6\u53d8\u5316\u5927 \uff086\uff09 \u76ee\u6807\u5c3a\u5ea6\u53d8\u5316\u5927<\/p>\n

\uff087\uff09\u76ee\u6807\u6a21\u7cca \uff088\uff09\u80cc\u666f\u590d\u6742<\/p>\n

2. \u57fa\u4e8e\u624b\u5de5\u8bbe\u8ba1\u7279\u5f81\u7684\u76ee\u6807\u68c0\u6d4b<\/h2>\n

\u6d41\u7a0b\uff1a\u5019\u533a\u57df\u63d0\u53d6\u3001\u7279\u5f81\u63d0\u53d6\u3001\u5206\u7c7b\u5668\u8bbe\u8ba1\u548c\u540e\u5904\u7406<\/p>\n

2.1 \u5019\u9009\u533a\u57df\u63d0\u53d6<\/h3>\n

\u5b9a\u4e49\uff1a\u9884\u5148\u6311\u9009\u51fa\u611f\u5174\u8da3\u76ee\u6807\u53ef\u80fd\u51fa\u73b0\u7684\u533a\u57df, \u820d\u5f03\u51fa\u73b0\u76ee\u6807\u53ef\u80fd\u6027\u8f83\u4f4e\u7684\u533a\u57df<\/p>\n

\u76ee\u7684\uff1a\u51cf\u5c11\u8ba1\u7b97\u91cf<\/p>\n

\u5206\u7c7b\uff1a\u57fa\u4e8e\u533a\u57df\u5148\u9a8c\u7684\u65b9\u6cd5<\/p>\n

\u200b \u57fa\u4e8e\u6a21\u677f\u5339\u914d\u7684\u65b9\u6cd5<\/p>\n

\u200b \u57fa\u4e8e\u7279\u5f81\u5206\u7c7b\u7684\u65b9\u6cd5<\/p>\n

\u200b \u57fa\u4e8e\u9009\u62e9\u6027\u641c\u7d22\u7684\u65b9\u6cd5<\/p>\n

\u200b \u57fa\u4e8e\u89c6\u89c9\u663e\u8457\u6027\u7684\u65b9\u6cd5<\/p>\n

2.1.1 \u57fa\u4e8e\u533a\u57df\u5148\u9a8c\u7684\u65b9\u6cd5<\/h4>\n

\u5b9a\u4e49\uff1a\u501f\u9274\u4eba\u7c7b\u5bf9\u76ee\u6807\u6240\u5728\u533a\u57df\u7684\u5148\u9a8c\u77e5\u8bc6, \u63d0\u53d6\u76ee\u6807\u7684\u6f5c\u5728\u533a\u57df<\/p>\n

\u200b \uff08\u7528\u4e00\u4e9b\u5df2\u7ecf\u77e5\u9053\u7684\u5176\u4ed6\u4fe1\u606f\u6765\u68c0\u6d4b\uff0c\u6bd4\u5982\u5730\u7406\u5750\u6807\u5b9a\u4f4d\uff09<\/p>\n

\u5e94\u7528\uff1a\u673a\u573a\u68c0\u6d4b\u7814\u7a76\u5de5\u4f5c\u7684\u4e3b\u8981\u6838\u5fc3\u601d\u60f3\u662f\u5bf9\u673a\u573a\u8dd1\u9053\u8fdb\u884c\u68c0\u6d4b<\/p>\n

\u7f3a\u70b9\uff1a\u96be\u4ee5\u5e94\u7528\u5728\u901a\u7528\u76ee\u6807\u68c0\u6d4b\u4e0a\u4ee5\u53ca\u5176\u4ed6\u590d\u6742\u573a\u666f\u4e2d<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
[7] Antelo J, Ambrosio G, Gonzalez J, Galindo C. Ship detection and recognitionin high-resolution satellite images. In: Proceed- ings of the 2009 IEEE International Geoscience and Remote Sensing Symposium. Cape Town, South Africa: IEEE, 2009. IV- 514-IV-517<\/th>\n\u91c7\u7528\u4e3b\u52a8\u8f6e\u5ed3\u65b9\u6cd5\u5b8c\u6210 \u6d77\u9762\u7684\u5206\u79bb, \u901a\u8fc7\u6784\u9020\u80fd\u91cf\u51fd\u6570\u5e76\u8fdb\u884c\u80fd\u91cf\u6700\u5c0f\u5316 \u8fed\u4ee3\u8fd0\u7b97,\u4f7f\u5f97\u8f6e\u5ed3\u66f2\u7ebf\u9010\u6e10\u903c\u8fd1\u6d77\u9646\u5206\u754c\u7ebf, \u5b9e\u73b0\u6d77\u9646\u8fb9\u754c\u7cbe\u7ec6\u5b9a\u4f4d, \u8fdb\u800c\u5b8c\u6210\u6d77\u9646\u5206\u79bb\u8fc7\u7a0b;<\/th>\n<\/tr>\n<\/thead>\n
[8]LiuG,ZhangYS,ZhengXW,SunX,FuK,WangHQ.A new method on inshore ship detection in high-resolution satel- lite images using shape and context information. IEEE Geoscience and Remote Sensing Letters, 2014, 11<\/strong>(3): 617\u2212621<\/td>\n\u5728\u4e3b\u52a8\u8f6e\u5ed3\u5206\u5272\u6cd5\u7684\u57fa\u7840\u4e0a, \u540c\u65f6\u5f15\u5165\u6c34\u5e73\u96c6 \u65b9\u6cd5, \u5b8c\u6210\u6d77\u9762\u7684\u5206\u79bb. \u6b64\u5916\u8fd8\u6709\u5927\u91cf\u57fa\u4e8e\u9608\u503c\u5206 \u5272\u7684\u65b9\u6cd5\u63d0\u53d6\u6d77\u9762\u533a\u57df<\/td>\n<\/tr>\n
[9]\u50a8\u662d\u4eae, \u738b\u5e86\u534e, \u9648\u6d77\u6797, \u5f90\u5b88\u65f6. \u57fa\u4e8e\u6781\u5c0f\u8bef\u5dee\u9608\u503c\u5206\u5272\u7684\u8230\u8239 \u81ea\u52a8\u68c0\u6d4b\u65b9\u6cd5. \u8ba1\u7b97\u673a\u5de5\u7a0b, 2007, 33<\/strong>(11): 239\u2212241<\/td>\n\u5229\u7528\u6700\u5927\u4f3c\u7136\u51c6\u5219\u81ea\u52a8\u8ba1\u7b97\u5206\u5272\u9608\u503c, \u5c06\u50cf\u7d20\u5206\u4e3a\u524d\u666f\u50cf\u7d20\u548c \u80cc\u666f\u50cf\u7d20, \u4ece\u800c\u5b9e\u73b0\u50cf\u7d20\u7ea7\u522b\u7684\u6d77\u9646\u5206\u5272\u5224\u5b9a<\/td>\n<\/tr>\n
[10]You X, Li W H. A sea-land segmentation scheme based on statistical model of sea. In: Proceedings of the 4th Internation- al Congress on Image and Signal Processing. Shanghai, China: IEEE, 2011. 1155\u22121159<\/td>\n\u5728\u81ea\u52a8\u8ba1\u7b97\u5206\u5272\u9608\u503c\u7684\u57fa\u7840\u4e0a, \u5f15\u5165\u5927\u6d25 (OTSU) \u7b97\u6cd5\u8fdb\u884c\u7c97\u5206\u5272, \u627e\u51fa\u6700\u5927\u8fde\u901a\u7684\u6d77\u9762\u533a\u57df, \u5efa \u7acb\u6d77\u9762\u5206\u5e03\u6a21\u578b, \u8fdb\u4e00\u6b65\u5206\u5272\u6d77\u9762\u548c\u9646\u5730.<\/td>\n<\/tr>\n
[11]Otsu N. A threshold selection method from gray-level histo- grams. IEEE Transactions on Systems, Man, and Cybernetics, 1979, 9<\/strong>(1): 62\u221266<\/td>\n\u5927\u6d25 (OTSU) \u7b97\u6cd5<\/td>\n<\/tr>\n
[12]Liu D H, He L H, Carin L. Airport detection in large aerial op- tical imagery. In: Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing. Montreal, Canada: IEEE, 2004. Article No. V-761<\/td>\n\u5229\u7528 Canny \u8fb9\u7f18\u68c0\u6d4b\u7b97\u5b50\u63d0\u53d6\u56fe\u50cf\u8fb9\u7f18\u7279\u5f81, \u540e\u7eed\u4f7f\u7528\u970d\u592b\u53d8\u6362\u68c0\u6d4b\u76f4\u7ebf\u6bb5, \u4ece\u800c\u5224\u65ad\u8dd1\u9053\u4f4d\u7f6e, \u8fdb\u800c\u800c\u5bf9\u673a\u573a\u4f4d\u7f6e\u8fdb\u884c\u5b9a\u4f4d.<\/td>\n<\/tr>\n
[13]Tao C, Tan Y H, Cai H J, Tian J W. Airport detection from large IKONOS images using clustered SIFT keypoints and re- gion information. IEEE Geoscience and Remote Sensing Let- ters, 2011, 8<\/strong>(1): 128\u2212132<\/td>\n\u6539\u8fdb SIFT \u7279\u5f81\u63cf\u8ff0\u5b50, \u7ed3\u5408\u5148\u9a8c\u77e5\u8bc6\u786e\u5b9a\u673a\u573a\u7684\u4f4d\u7f6e<\/td>\n<\/tr>\n
[14]YaoXW,HanJW,GuoL,BuSH,LiuZB.Acoarse-to-fine model for airport detection from remote sensing images using target-oriented visual saliency and CRF. Neurocomputing, 2015, 164<\/strong>: 162\u2212172<\/td>\n\u5206\u6790\u4e86\u73b0\u6709\u65b9\u6cd5\u9010\u50cf\u7d20\u5224\u65ad\u7684\u7f3a\u9677, \u5229\u7528\u970d\u592b\u53d8\u6362\u5224\u65ad\u662f\u5426\u5b58\u5728\u6f5c\u5728\u673a\u573a, \u540e\u7eed\u91c7\u7528\u57fa\u4e8e\u663e\u8457\u6027 \u533a\u57df\u63d0\u53d6\u7684\u65b9\u5f0f\u5bf9\u5019\u9009\u533a\u57df\u63d0\u53d6 SIFT \u7279\u5f81, \u901a\u8fc7 \u5206\u7c7b\u5224\u65ad\u76ee\u6807\u533a\u57df\u4f4d\u7f6e.<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2.1.2 \u57fa\u4e8e\u6a21\u677f\u5339\u914d\u7684\u65b9\u6cd5<\/h4>\n

\u5b9a\u4e49\uff1a\u5bf9\u611f\u5174\u8da3\u76ee\u6807\u5efa\u7acb\u6a21\u677f\u5e93, \u7136\u540e\u5728\u5f85\u68c0\u56fe\u50cf\u4e2d\u9010\u50cf\u7d20\u6216\u8005\u9010\u7a97\u53e3, \u6839\u636e\u76f8\u4f3c\u5ea6\u5ea6\u91cf\u4e0e\u6a21\u677f\u8fdb\u884c\u5339\u914d\u3002<\/p>\n

\u7f3a\u70b9\uff1a\u6a21\u677f\u7684\u8bbe\u8ba1\u4e00\u822c\u5b58\u5728\u9c81\u68d2\u6027\u5dee\u7684\u7f3a\u9677, \u96be\u4ee5\u5e94\u5bf9\u590d\u6742\u591a\u53d8\u7684\u9065\u611f\u56fe\u50cf\u573a\u666f, \u540c\u65f6\u5339\u914d\u7684\u8fc7\u7a0b\u91c7\u7528\u904d\u5386\u7684\u65b9\u5f0f, \u8ba1\u7b97\u6548\u7387\u8f83\u4f4e\u3002<\/p>\n\n\n\n\n\n\n\n\n
[15]Xu J, Fu K, Sun X. An invariant generalized Hough transform based method of inshore ships detection. In: Proceedings of the 2011 International Symposium on Image and Data Fusion. Tengchong, China: IEEE, 2011. 1\u22124<\/th>\n\u57fa\u4e8e\u970d\u592b\u53d8\u6362\u8fc7\u7a0b\u751f\u6210\u8230\u8239\u6837\u672c\u5f62\u72b6\u5e93,\u5728\u5b9e\u9645\u56fe\u50cf\u4e0a\u91c7\u7528\u6ed1\u52a8\u7a97\u53e3\u65b9\u6cd5\u8ba1\u7b97\u5404\u4e2a\u7a97\u53e3 \u533a\u57df\u4e0e\u5f62\u72b6\u5e93\u7279\u5f81\u76f8\u4f3c\u6027, \u4ece\u800c\u5224\u65ad\u662f\u5426\u5305\u542b\u76ee\u6807 \u56fe\u50cf.<\/th>\n<\/tr>\n<\/thead>\n
[16]Xu J, Sun X, Zhang D B, Fu K. Automatic detection of in- shore ships in high-resolution remote sensing images using ro- bust invariant generalized Hough transform. IEEE Geoscience and Remote Sensing Letters, 2014, 11<\/strong>(12): 2070\u22122074<\/td>\n\u5728\u5f62\u72b6\u5e93\u4e0a\u8fdb\u884c\u6539\u8fdb, \u5728\u8bad\u7ec3\u65b9\u6cd5\u4e2d\u5f15\u5165\u8fed\u4ee3\u6700\u5927\u95f4\u9694, \u4f7f\u5f97\u5f62\u72b6\u6a21\u578b\u66f4\u52a0\u9c81\u68d2, \u8fdb\u4e00 \u6b65\u63d0\u5347\u68c0\u6d4b\u6027\u80fd.<\/td>\n<\/tr>\n
[17]Harvey N R, Porter R, Theiler J. Ship detection in satellite im- agery using rank-order grayscale hit-or-miss transforms. In: Proceedings of SPIE 7701, Visual Information Processing XIX.Orlando, USA: SPIE, 2010. Article No. 770102<\/td>\n\u5bf9\u6570\u636e\u96c6\u4e2d\u8230\u8239\u6837\u672c\u8fdb\u884c\u591a\u89d2\u5ea6\u65cb\u8f6c, \u589e\u52a0\u6a21\u677f\u5e93\u7684\u591a\u6837\u6027, \u4ece\u800c\u63d0\u5347\u68c0\u6d4b\u7684\u6cdb\u5316\u80fd\u529b, \u540c\u65f6\u5728\u5339\u914d\u7b97\u6cd5\u4e2d, \u8bbe\u8ba1\u4e86\u4e00 \u79cd\u7070\u5ea6\u5f62\u6001\u5b66\u547d\u4e2d\u7b97\u6cd5\u6765\u52a0\u901f\u5339\u914d\u8fc7\u7a0b<\/td>\n<\/tr>\n
[18]Liu G, Sun X, Fu K, Wang H Q. Aircraft recognition in high- resolution satellite images using coarse-to-fine shape prior. IEEE Geoscience and Remote Sensing Letters, 2013, 10<\/strong>(3): 573\u2212577<\/td>\n\u63d0\u51fa\u7531\u7c97\u5230\u7cbe (Coarse to fine) \u7684\u98de\u673a\u68c0\u6d4b\u65b9\u6cd5, \u5148 \u5229\u7528\u6a21\u677f\u5339\u914d\u627e\u51fa\u98de\u673a\u53ef\u80fd\u5b58\u5728\u7684\u533a\u57df, \u518d\u5bf9\u6bcf\u4e2a \u533a\u57df\u5229\u7528\u4e3b\u6210\u5206\u5206\u6790(PCA)\u548c\u6838\u5bc6\u5ea6\u51fd\u6570(Kenel SVM)\u8fdb\u884c\u8bc6\u522b, \u5b8c\u6210\u6574\u4e2a\u68c0\u6d4b\u8fc7\u7a0b.<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2.1.3 \u57fa\u4e8e\u7279\u5f81\u5206\u7c7b\u7684\u65b9\u6cd5<\/h4>\n

\u5b9a\u4e49\uff1a\u6ed1\u52a8\u7a97\u53e3\u8fdb\u884c\u7279\u5f81\u63d0\u53d6=>\u8bbe\u8ba1\u5206\u7c7b\u5668,\u5bf9\u6ed1\u52a8\u56fe\u50cf\u5757\u8fdb\u884c\u5feb\u901f\u8bc4\u4ef7=>\u9009\u53d6\u5f97\u5206\u8f83\u9ad8\u7684\u56fe\u50cf\u533a\u57df\u4f5c\u4e3a\u5019\u9009\u533a\u57df.<\/p>\n

\u7f3a\u70b9\uff1a\u8ba1\u7b97\u6548\u7387\u8f83\u4f4e, \u4e14\u5b9a\u4f4d\u7cbe\u5ea6\u8f83\u5dee\u3002<\/p>\n\n\n\n\n\n\n\n\n
\u8bba\u6587<\/th>\n\u5185\u5bb9<\/th>\n<\/tr>\n<\/thead>\n
[19] Zhang Z M, Warrell J, Torr P H S. Proposal generation for ob- ject detection using cascaded ranking SVMs. In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR 2011). Colorado Springs, USA: IEEE, 2011. 1497\u22121504<\/td>\n\u5229\u7528\u6ed1\u52a8\u7a97\u53e3\u6cd5\u5728\u56fe\u50cf\u4e2d\u751f\u6210\u4e0d\u540c\u5927\u5c0f\u3001\u4e0d\u540c\u957f\u5bbd\u6bd4\u7684\u7a97\u53e3, \u5e76\u63d0\u53d6\u6bcf\u4e2a\u7a97\u53e3\u7684\u89c6\u89c9\u7279\u5f81, \u5229\u7528\u7ea7\u8054\u7684\u652f\u6301\u5411\u91cf\u673a (SVM) \u5bf9\u6ed1\u52a8\u7a97 \u53e3\u8fdb\u884c\u6253\u5206, \u5b8c\u6210\u5019\u9009\u533a\u57df\u7684\u63d0\u53d6\u8fc7\u7a0b<\/td>\n<\/tr>\n
[20] Cheng M M, Zhang Z M, Lin W Y, Torr P. BING: Binarized normed gradients for objectness estimation at 300fps. In: Pro- ceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition. Columbus, USA: IEEE, 2014. 3286\u22123293<\/td>\n\u5728Zhang\u4e0a\u9762\u7684\u57fa\u7840\u4e0a\uff0c\u5c06\u7a97\u53e3\u63d0\u53d6\u5230\u7684\u7279\u5f81\u548c SVM \u5206\u7c7b\u5668\u7684\u6743\u91cd\u8fdb\u884c\u4e8c\u503c\u5316, \u4ece\u800c\u6781\u5927\u5730\u63d0\u5347\u4e86\u7b97\u6cd5\u5904\u7406\u901f\u5ea6.<\/td>\n<\/tr>\n
[21]LiuZK,WangHZ,WengLB,YangYP.Shiprotated bounding box space for ship extraction from high-resolution op- tical satellite images with complex backgrounds. IEEE Geoscience and Remote Sensing Letters, 2016, 13<\/strong>(8): 1074\u22121078<\/td>\n\u5728 BING \u7b97\u6cd5\u57fa\u7840\u4e0a, \u9488\u5bf9\u8230\u8239\u65b9\u5411\u6027\u95ee \u9898\u6784\u9020\u65cb\u8f6c\u77e9\u5f62\u6846\u7a7a\u95f4, \u5e76\u8bbe\u8ba1\u7ea7\u8054\u7ebf\u6027\u5206\u7c7b\u5668\u6a21 \u578b\u5bf9\u7a7a\u95f4\u5185\u7684\u5019\u9009\u6846\u8fdb\u884c\u5feb\u901f\u6253\u5206, \u5b8c\u6210\u5bf9\u8230\u8239\u76ee \u6807\u6f5c\u5728\u533a\u57df\u7684\u63d0\u53d6\u8fc7\u7a0b.<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2.1.4 \u57fa\u4e8e\u9009\u62e9\u6027\u641c\u7d22\u7684\u65b9\u6cd5<\/h4>\n

\u5b9a\u4e49\uff1a\u5728\u641c\u7d22\u5230\u56fe\u50cf\u4e2d\u6240\u6709\u6f5c\u5728\u76ee\u6807, \u4ece\u800c\u8fdb\u884c\u5019\u9009\u533a\u57df \u7684\u63d0\u53d6.<\/p>\n

\u4f18\u70b9\uff1a\u91c7\u7528\u5206\u5272\u65b9\u5f0f\u6765\u89e3\u51b3\u76ee\u6807\u4e0d\u540c\u5c3a\u5ea6\u7684\u95ee\u9898, \u51cf\u5c11\u4e86\u6ed1\u52a8\u7a97\u53e3\u66b4\u529b\u641c\u7d22\u5e26\u6765\u7684\u65f6\u95f4\u6d88\u8017\uff1b\u9762\u5bf9\u590d\u6742\u7c7b\u522b\u540c\u65f6\u4f7f\u7528\u989c\u8272\u3001\u7eb9\u7406\u7b49\u591a\u79cd\u7279\u5f81\u8fdb\u884c\u76f8\u4f3c\u5ea6\u5ea6\u91cf, \u6cdb\u5316\u80fd\u529b\u8f83\u5f3a\u3002<\/p>\n

\u7f3a\u70b9\uff1a\u82b1\u8d39\u65f6\u95f4\u957f\uff0c\u7b97\u6cd5\u590d\u6742\u5ea6\u4f9d\u7136\u8f83\u9ad8, \u96be\u4ee5\u6ee1\u8db3\u5b9e\u65f6\u6027\u8981\u6c42.<\/p>\n\n\n\n\n\n\n\n\n
\u8bba\u6587<\/th>\n\u5185\u5bb9<\/th>\n<\/tr>\n<\/thead>\n
[22]Uijlings J R R, Van De Sande K E A, Gevers T, Smeulders A W M. Selective search for object recognition. International Journal of Computer Vision, 2013, 104<\/strong>(2): 154\u2212171\uff08Selective Search\u7b97\u6cd5\u8bba\u6587\uff09<\/td>\n\u9996\u5148\u91c7\u7528\u57fa\u4e8e \u56fe (Graph) \u7684\u5206\u5272\u65b9\u6cd5\uff0c\u8fdb\u884c\u8fc7\u5206\u5272, \u751f\u6210\u5927\u91cf\u521d \u59cb\u5c0f\u533a\u57df, \u4e4b\u540e\u901a\u8fc7\u8ba1\u7b97\u76f8\u90bb\u533a\u57df\u95f4\u7684\u76f8\u4f3c\u5ea6, \u5c06 \u6700\u76f8\u4f3c\u7684\u4e24\u4e2a\u533a\u57df\u8fdb\u884c\u5408\u5e76, \u91cd\u590d\u4e0a\u8ff0\u8fc7\u7a0b\u76f4\u81f3\u6ee1 \u8db3\u63d0\u53d6\u7684\u5019\u9009\u533a\u57df\u9884\u5b9a\u6570\u91cf\u3002<\/td>\n<\/tr>\n
[24]ChengG,ZhouPC,YaoXW,YaoC,ZhangYB,HanJW. Object detection in VHR optical remote sensing images via learning rotation-invariant HOG feature. In: Proceedings of the 4th International Workshop on Earth Observation and Re- mote Sensing Applications. Guangzhou, China: IEEE, 2016. 433\u2212436<\/td>\n\u57fa\u4e8e\u9009\u62e9\u6027\u641c\u7d22\u65b9\u6cd5\u63d0\u53d6\u8230\u8239\u7684\u5019\u9009\u533a\u57df, \u6709\u6548\u6ee4\u9664\u4e86\u5927\u90e8\u5206\u80cc\u666f.<\/td>\n<\/tr>\n
[25]Cheng G, Zhou P C, Han J W. Learning rotation-invariant convolutional neural networks for object detection in VHR op- tical remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54<\/strong>(12): 7405\u22127415<\/td>\n\u57fa\u4e8e\u9009\u62e9\u6027\u641c\u7d22\u65b9\u6cd5\u63d0\u53d6\u8230\u8239\u7684\u5019\u9009\u533a\u57df, \u6709\u6548\u6ee4\u9664\u4e86\u5927\u90e8\u5206\u80cc\u666f.<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2.1.5 \u57fa\u4e8e\u89c6\u89c9\u663e\u8457\u6027\u7684\u65b9\u6cd5<\/h4>\n

\u5b9a\u4e49\uff1a\u6709\u70b9\u7c7b\u4f3c\u4e8eAttention\u673a\u5236\uff0c\u53c2\u8003\u4eba\u7c7b\u89c6\u89c9\u7cfb\u7edf\u4e2d\u7684\u5feb\u901f\u805a\u7126\u80fd\u529b, \u4f18\u5148\u805a\u7126\u5728\u89c6\u89c9\u7279\u5f81\u660e\u663e\u7684\u663e\u8457\u6027\u533a\u57df, \u5ffd\u7565\u65e0\u5173\u80cc\u666f\u3002<\/p>\n

\u9891\u57df\u7279\u6027\uff1a\u5982\u5229\u7528\u5085\u91cc\u53f6\u53d8\u6362\u3001\u4f59\u5f26\u53d8\u6362\u3001 \u5c0f\u6ce2\u53d8\u6362\u5c06\u7a7a\u57df\u4fe1\u606f\u6620\u5c04\u5230\u9891\u57df, \u8fdb\u800c\u5728\u9891\u57df\u7a7a\u95f4\u5229\u7528\u9891\u57df\u7279\u6027\u5b8c\u6210\u89c6\u89c9\u663e\u8457\u6027\u7684\u68c0\u6d4b\u3002<\/p>\n

\u4f18\u70b9\uff1a\u5728\u7279\u5b9a\u573a\u666f\u4e2d\u6709\u7740\u4e0d\u9519\u7684\u6027\u80fd<\/p>\n

\u7f3a\u70b9\uff1a\u53ea\u80fd\u5e94\u7528\u5728\u7b80\u5355\u80cc\u666f\u73af\u5883\u4e0b, \u4e14\u76ee\u6807\u672c\u8eab\u7684\u89c6\u89c9\u7279\u5f81\u76f8\u5bf9\u660e\u663e\u3002\u4f5c\u91c7\u7528\u904d\u5386\u641c\u7d22\u7684\u65b9\u5f0f, \u5b58\u5728\u5197\u4f59\u8ba1\u7b97, \u5904\u7406\u901f\u5ea6\u8f83\u6162\u3002\u573a\u666f\u6709\u9650\u3001\u65e0\u6cd5\u5feb\u901f\u5904\u7406\u9065\u611f\u9886\u57df\u590d\u6742\u591a\u53d8\u7684\u6570\u636e\u3002<\/p>\n\n\n\n\n\n\n\n\n\n
\u8bba\u6587<\/th>\n\u5185\u5bb9<\/th>\n<\/tr>\n<\/thead>\n
[26]Song Z N, Sui H G, Wang Y J. Automatic ship detection for optical satellite images based on visual attention model and LBP. In: Proceedings of the 2014 IEEE Workshop on Electron- ics, Computer and Applications. Ottawa, Canada: IEEE, 2014.<\/td>\n\u6709\u6548\u5229\u7528\u4e86\u989c\u8272\u7279\u6027, \u878d\u5408\u65b9\u5411 \u548c\u68af\u5ea6\u4fe1\u606f\u6765\u63d0\u53d6\u89c6\u89c9\u7279\u5f81, \u8fdb\u800c\u8fdb\u884c\u89c6\u89c9\u663e\u8457\u6027\u7684\u8ba1\u7b97, \u5e76\u4f9d\u636e\u663e\u8457\u6027\u68c0\u6d4b\u7ed3\u679c\u63d0\u53d6\u8230\u8239\u5019\u9009\u533a\u57df.<\/td>\n<\/tr>\n
[27]Zhang L B, Zhang Y Y. Airport detection and aircraft recogni- tion based on two-layer saliency model in high spatial resolu- tion remote-sensing images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10<\/strong>(4): 1511\u22121524<\/td>\n\u5229\u7528\u5085\u91cc\u53f6\u53d8\u6362\u63d0\u53d6\u98de\u673a\u5019\u9009\u533a\u57df<\/td>\n<\/tr>\n
[28]Ding Z H, Yu Y, Wang B, Zhang L M. An approach for visual attention based on biquaternion and its application for ship de- tection in multispectral imagery. Neurocomputing, 2012, 76<\/strong>(1): 9\u221217<\/td>\n\u5229\u7528\u9891\u57df\u7279\u6027\u63d0\u53d6\u8230\u8239\u5019\u9009\u533a\u57df.<\/td>\n<\/tr>\n
[29]Xu F, Liu J H. Ship detection and extraction using visual sali- ency and histogram of oriented gradient. Optoelectronics Let- ters, 2016, 12<\/strong>(6): 473\u2212477<\/td>\n\u5229\u7528\u9891\u57df\u7279\u6027\u63d0\u53d6\u8230\u8239\u5019\u9009\u533a\u57df.<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2.2 \u7279\u5f81\u63d0\u53d6<\/h3>\n

\u7279\u5f81\u63d0\u53d6\u662f\u9065\u611f\u76ee\u6807\u68c0\u6d4b\u4e2d\u6700\u4e3a\u5173\u952e\u7684\u6b65\u9aa4, \u76f4\u63a5\u5f71\u54cd\u7740\u68c0\u6d4b\u7b97\u6cd5\u7684\u6027\u80fd\u548c\u6548\u7387\u3002\u56fe\u50cf\u76ee\u6807\u68c0\u6d4b\u5e38\u7528\u7684\u7279\u5f81\u6709\u989c\u8272\u3001\u7eb9\u7406\u3001\u8fb9\u7f18\u5f62\u72b6\u548c\u4e0a\u4e0b\u6587<\/strong>\u3002\u63d0\u53d6\u7684\u7528\u4e8e\u76ee\u6807\u68c0\u6d4b\u7684\u7279\u5f81, \u53ef\u4ee5\u662f\u5355\u4e2a\u89c6\u89c9\u7279\u5f81, \u4e5f\u53ef\u4ee5\u878d\u5408\u591a\u4e2a\u89c6\u89c9\u7279\u5f81\u3002<\/p>\n

\u5206\u7c7b\uff1a\u989c\u8272\u3001\u7eb9\u7406\u3001\u8fb9\u7f18\u5f62\u72b6\u3001\u4e0a\u4e0b\u6587<\/strong><\/p>\n

2.2.1 \u989c\u8272\u7279\u5f81<\/h4>\n

\u5b9a\u4e49\uff1a\u4e0d\u540c\u989c\u8272\u5728\u6574\u5e45\u56fe\u50cf\u4e2d\u6240\u5360\u7684\u6bd4\u4f8b\u3002<\/p>\n

\u5e94\u7528\uff1a\u5bf9\u989c\u8272\u654f\u611f\u4f46\u5bf9\u7a7a\u95f4\u4f4d\u7f6e\u5206\u5e03\u4e0d\u654f\u611f\u7684\u76ee\u6807\u3002<\/p>\n

\u4f18\u70b9\uff1a\u8ba1\u7b97\u8fc7\u7a0b\u8f83\u4e3a\u7b80\u5355, \u4e14\u4e0d\u4f9d\u8d56\u76ee\u6807\u7684\u5c3a\u5bf8\u3001\u65b9\u5411\u6216\u8005\u56fe\u50cf\u89c6\u89d2\u7684\u53d8\u5316, \u5177\u6709\u8f83\u5f3a\u7684\u9c81\u68d2\u6027\u3002<\/p>\n

\u7f3a\u70b9\uff1a\u8868\u5f81\u80fd\u529b\u6709\u9650, \u5355\u7eaf\u51ed\u501f\u989c\u8272\u7279\u5f81\u5f88 \u96be\u5bf9\u76ee\u6807\u8fdb\u884c\u533a\u5206, \u4e00\u822c\u90fd\u4f1a\u7ed3\u5408\u5176\u4ed6\u89c6\u89c9\u7279\u5f81\u6765 \u8fdb\u4e00\u6b65\u63d0\u9ad8\u7279\u5f81\u8868\u8fbe\u80fd\u529b.<\/p>\n

\u5e38\u89c1\u5206\u7c7b\u7279\u5f81\uff1a\u6709\u989c\u8272\u77e9\u3001\u989c\u8272\u76f8\u5173\u56fe\u3001\u989c\u8272\u76f4\u65b9\u56fe\u3002<\/p>\n\n\n\n\n\n\n\n\n\n
\u8bba\u6587<\/th>\n\u5185\u5bb9<\/th>\n<\/tr>\n<\/thead>\n
[30]Cucchiara R, Grana C, Piccardi M, Prati A, Sirotti S. Improv- ing shadow suppression in moving object detection with HSV color information. In: Proceedings of the 2001 IEEE Intelligent Transportation Systems (ITSC 2001). Oakland, USA: IEEE, 2001. 334\u2212339<\/td>\n\u63d0\u53d6\u5019\u9009\u533a\u57df\u540e, \u8f6c\u6362\u5230 HSV \u989c\u8272\u7a7a\u95f4, \u5e76\u5bf9\u6bcf\u4e2a\u533a\u57df\u63d0\u53d6\u989c\u8272\u7279\u5f81, \u6765\u5224 \u65ad\u76ee\u6807\u7684\u4f4d\u7f6e\u4fe1\u606f\u548c\u79fb\u52a8\u5173\u7cfb<\/td>\n<\/tr>\n
[31]Morillas J R A, Garc\u00eda I C, Z\u00f6lzer U. Ship detection based on SVM using color and texture features. In: Proceedings of the 2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP). Cluj-Napoca, Ro- mania: IEEE, 2015. 343\u2212350<\/td>\n\u63d0\u53d6\u5019\u9009\u533a\u57df\u7684\u989c\u8272\u7279\u5f81\u4f5c\u4e3a\u8f85\u52a9\u4fe1\u606f, \u4e0e\u5176\u4ed6\u89c6\u89c9\u7279 \u5f81\u8fdb\u884c\u7ed3\u5408, \u6765\u8fdb\u884c\u68c0\u6d4b\u548c\u8bc6\u522b<\/td>\n<\/tr>\n
[32]Oliva A, Torralba A. Modeling the shape of the scene: A holist- ic representation of the spatial envelope. International Journalof Computer Vision, 2001, 42<\/strong>(3): 145\u2212175<\/td>\nGIST \u7279\u5f81\u7684\u8bba\u6587\u3002\u662f\u4e00 \u79cd\u573a\u666f\u7279\u5f81\u63cf\u8ff0, \u5728\u7a7a\u95f4\u5305\u7edc\u57fa\u7840\u4e0a\u53d1\u5c55\u5f97\u5230, \u5bf9 \u989c\u8272\u6bd4\u8f83\u654f\u611f<\/td>\n<\/tr>\n
[33]Li Z C, Itti L. Saliency and gist features for target detection in satellite images. IEEE Transactions on Image Processing, 2011, 20<\/strong>(7): 2017\u22122029<\/td>\n\u5229\u7528 GIST \u7279\u5f81\u6765\u5bf9\u5019\u9009\u533a \u57df\u8fdb\u884c\u68c0\u6d4b\u548c\u8bc6\u522b<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2.2.2 \u7eb9\u7406\u7279\u5f81<\/h4>\n

\u5b9a\u4e49\uff1a\u9ad8\u5206\u8fa8\u7387\u9065\u611f\u56fe\u50cf\u76ee\u6807\u5305\u542b\u4e86\u4e30\u5bcc\u7684\u7eb9\u7406\u7ed3\u6784, \u4e0d\u540c\u79cd\u7c7b\u7684\u76ee\u6807\uff0c\u5177\u6709\u4e0d\u540c\u7684\u7eb9\u7406\u7ed3\u6784\uff0c\u7eb9\u7406\u7279\u5f81\u80fd\u591f\u6709\u6548\u63d0\u9ad8\u76ee\u6807\u68c0\u6d4b\u6027\u80fd\u3002<\/p>\n

\u4f18\u70b9\uff1a\u5728\u7279\u5b9a\u9886\u57df\u4e0b\u51c6\u786e\u7387\u9ad8\u3002<\/p>\n

\u7f3a\u70b9\uff1a\u5e94\u7528\u8303\u56f4\u6709\u9650\uff0c\u5927\u90e8\u5206\u4e0d\u80fd\u901a\u8fc7\u7eb9\u7406\u68c0\u6d4b<\/p>\n\n\n\n\n\n\n\n
\u8bba\u6587<\/th>\n\u5185\u5bb9<\/th>\n<\/tr>\n<\/thead>\n
Brekke C, Solberg A H S. Oil spill detection by satellite re- mote sensing. Remote Sensing of Environment, 2005, 95<\/strong>(1): 1\u221213<\/td>\n\u6839\u636e\u6d77\u9762\u533a\u57df\u548c\u6d77\u9762\u6d6e\u6cb9\u533a\u57df\u4e4b \u95f4\u4e0d\u540c\u7684\u7eb9\u7406\u7279\u6027, \u6765\u505a\u6f0f\u6cb9\u68c0\u6d4b<\/td>\n<\/tr>\n
Selvi M U, Kumar S S. A novel approach for ship recognition using shape and texture. International Journal of Advanced In- formation Technology, 2011, 1<\/strong>(5): 23\u221229<\/td>\n\u5229\u7528 \u7eb9\u7406\u7279\u5f81\u6765\u8fdb\u884c\u8230\u8239\u76ee\u6807\u7684\u68c0\u6d4b\u8bc6\u522b.<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2.2.3 \u8fb9\u7f18\u5f62\u72b6\u7279\u5f81<\/h4>\n

\u4e0e\u5176\u4ed6\u7684\u76f8\u6bd4\uff0c\u66f4\u80fd\u53cd\u5e94\u672c\u8d28\u7279\u5f81<\/em><\/strong><\/p>\n

\u8981\u6c42\uff1a\u5177\u6709\u5c3a\u5bf8\u3001\u5e73\u79fb\u3001\u65cb\u8f6c\u7684\u4e0d\u53d8\u6027<\/p>\n

\u5206\u7c7b\uff1a\u77e9\u7279\u5f81\u3001SIFT\u7279\u5f81\u548cHOG\u7279\u5f81<\/p>\n

\u77e9\u7279\u5f81<\/em> \u6216 \u8f6e\u5ed3\u77e9<\/em> \uff1a\u533a\u57df\u77e9\u5bf9\u6574\u4f53\u533a\u57df\u7684\u5168\u5c40\u8fdb\u884c\u8868\u8ff0<\/p>\n

\u200b \u8f6e\u5ed3\u77e9\u5bf9\u5019\u9009\u533a\u57df\u5185\u76ee\u6807\u7684\u8fb9\u754c\u8fdb\u884c\u8868\u8ff0<\/p>\n

\u200b \u5305\u542b\u4fe1\u606f\u91cf\u591a<\/p>\n\n\n\n\n\n
\u8bba\u6587<\/th>\n\u5185\u5bb9<\/th>\n<\/tr>\n<\/thead>\n
[36] Hsieh J W, Chen J M, Chuang C H, Fan K C. Aircraft type re- cognition in satellite images. IEE Proceedings-Vision, Image, and Signal Processing, 2005, 152<\/strong>(3): 307\u2212315<\/td>\n\u63d0\u53d6\u76ee\u6807\u7684 Zernike \u77e9, \u5e76\u7ed3\u5408\u5c0f\u6ce2\u7cfb\u6570\u3001\u8fb9\u7f18\u548c\u8ddd\u79bb\u7279\u5f81, \u5bf9\u5404\u4e2a\u7279\u5f81\u8fdb\u884c\u52a0\u6743\u878d\u5408, \u63d0\u9ad8\u4e86\u98de\u673a\u7684\u8bc6 \u522b\u7387.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

SIFT \u7279\u5f81<\/em> : SIFT \u7279\u5f81\u7528\u4e8e\u63cf\u8ff0\u56fe\u50cf\u5c40\u90e8\u4fe1\u606f, \u5bf9\u5c3a\u5ea6\u53d8\u5316\u548c\u89d2\u5ea6\u53d8\u5316\u4fdd\u6301\u4e0d\u53d8, \u540c\u65f6\u5bf9\u89c6\u89d2\u53d8\u5316\u548c\u566a\u58f0\u5177 \u6709\u4e00\u5b9a\u7684\u9002\u5e94\u6027. \u63d0\u53d6\u901f\u5ea6\u5feb<\/strong><\/p>\n\n\n\n\n\n\n
\u8bba\u6587<\/th>\n\u5185\u5bb9<\/th>\n<\/tr>\n<\/thead>\n
[37] Sun H, Sun X, Wang H Q, Li Y, Li X J. Automatic target de- tection in high-resolution remote sensing images using spatial sparse coding bag-of-words model. IEEE Geoscience and Re- mote Sensing Letters, 2012, 9<\/strong>(1): 109\u2212113<\/td>\n\u63d0\u53d6\u6ed1\u52a8\u7a97\u53e3\u4e2d\u7684 SIFT \u7279 \u5f81, \u5229\u7528\u7a00\u758f\u8bcd\u888b\u6a21\u578b (Bag of words) \u8fdb\u884c\u5206\u7c7b.<\/td>\n<\/tr>\n
[38]Tong S, Sun K, Shi B H, Chen J Y. A ship target automatic recognition method for sub-meter remote sensing images. In: Proceedings of the 4th International Workshop on Earth Ob- servation and Remote Sensing Applications (EORSA). Guang- zhou, China: IEEE, 2016.<\/td>\n\u5229\u7528 SIFT \u4f5c\u4e3a\u8230\u8239\u5019\u9009\u533a\u57df\u7684\u7279\u5f81, \u8fdb \u800c\u6839\u636e\u63d0\u53d6\u7684\u7279\u5f81\u8fdb\u884c\u5206\u7c7b\u8bc6\u522b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

HOG\u7279\u5f81<\/em> : \u5229\u7528\u68af\u5ea6\u6216\u8fb9\u7f18\u7684\u65b9\u5411\u5bc6\u5ea6\u5206\u5e03\u63cf \u8ff0\u4e86\u533a\u57df\u5185\u76ee\u6807\u7684\u8f6e\u5ed3\u548c\u8fb9\u7f18\u4fe1\u606f\u3001\u5f31\u5316\u5149\u7167\u53d8\u5316 \u7b49\u73af\u5883\u4e0a\u7684\u5e72\u6270\u3002<\/p>\n

\u200b \u4f18\u70b9\uff1a\u5f31\u5316\u5149\u7167\u53d8\u5316\u7b49\u73af\u5883\u4e0a\u7684\u5e72\u6270\u3001\u63d0\u53d6\u901f\u5ea6\u5feb, \u7279\u5f81\u6cdb\u5316\u80fd\u529b\u5f3a\u3002<\/p>\n

\u200b \u7f3a\u70b9\uff1a\u4e0d\u5177\u6709\u9009\u62e9\u4e0d\u53d8\u6027<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
\u8bba\u6587<\/th>\n\u5185\u5bb9<\/th>\n\u5206\u7c7b<\/th>\n<\/tr>\n<\/thead>\n
[24]ChengG,ZhouPC,YaoXW,YaoC,ZhangYB,HanJW. Object detection in VHR optical remote sensing images via learning rotation-invariant HOG feature. In: Proceedings of the 4th International Workshop on Earth Observation and Re- mote Sensing Applications. Guangzhou, China: IEEE, 2016. 433\u2212436<\/td>\n<\/td>\n\u8239\u53ea\u68c0\u6d4b<\/td>\n<\/tr>\n
[29]Xu F, Liu J H. Ship detection and extraction using visual sali- ency and histogram of oriented gradient. Optoelectronics Let- ters, 2016, 12<\/strong>(6): 473\u2212477<\/td>\n<\/td>\n\u8239\u53ea\u68c0\u6d4b<\/td>\n<\/tr>\n
[39]Shi Z W, Yu X R, Jiang Z G, Li B. Ship detection in high-res- olution optical imagery based on anomaly detector and local shape feature. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52<\/strong>(8): 4511\u22124523<\/td>\n\u63d0\u53d6\u8230 \u8239\u7684\u5019\u9009\u533a\u57df\u540e, \u5bf9\u6bcf\u4e2a\u533a\u57df\u63d0\u53d6 HOG \u7279\u5f81, \u5e76\u91c7\u7528 AdaBoost \u5206\u7c7b\u5668\u5bf9\u5019\u9009\u533a\u57df\u8fdb\u884c\u7b5b\u9009\u5206\u7c7b, \u8fdb \u4e00\u6b65\u63d0\u9ad8\u7b97\u6cd5\u7684\u7cbe\u786e\u5ea6<\/td>\n\u8239\u53ea\u68c0\u6d4b<\/td>\n<\/tr>\n
[40]GongC,HanJW,GuoL,QianXL,ZhouPC,YaoXW, et al. Object detection in remote sensing imagery using a dis- criminatively trained mixture model. ISPRS Journal of Photo- grammetry and Remote Sensing, 2013, 85<\/strong>: 32\u221243<\/td>\n\u5bf9\u5019\u9009\u533a\u57df\u63d0 \u53d6\u591a\u5c3a\u5ea6 HOG \u7279\u5f81, \u7136\u540e\u5bf9\u591a\u5c3a\u5ea6\u7279\u5f81\u8fdb\u884c\u878d\u5408, \u8fdb\u800c\u8fdb\u884c\u5206\u7c7b\u8bc6\u522b<\/td>\n\u8239\u53ea\u68c0\u6d4b<\/td>\n<\/tr>\n
[41]Yin Y Y, Liu N, Li C Y, Wan W B, Fang T. Coarse-to-fine ship detection using visual saliency fusion and feature encod- ing for optical satellite images. In: Proceedings of the 2016 In- ternational Conference on Audio, Language and Image Pro- cessing (ICALIP). Shanghai, China: IEEE, 2016.<\/td>\n<\/td>\n\u8239\u53ea\u68c0\u6d4b<\/td>\n<\/tr>\n
[42]Zhang W C, Sun X, Fu K, Wang C Y, Wang H Q. Object de- tection in high-resolution remote sensing images using rotation invariant parts based model. IEEE Geoscience and Remote Sensing Letters, 2014, 11<\/strong>(1): 74\u221278<\/td>\n\u9274\u4e8e HOG \u7279\u5f81\u4e0d\u5177\u5907\u65cb\u8f6c\u4e0d \u53d8\u6027\u7684\u7279\u70b9\u3002\u8bbe\u8ba1\u4e86\u5bf9\u65cb\u8f6c\u4e0d\u654f\u611f\u7684\u65cb \u8f6c\u4e0d\u53d8\u6027\u7684\u7279\u5f81, \u5bf9\u5355\u4e2a\u7a97\u53e3\u8fdb\u884c\u7f51\u683c\u5212\u5206, \u63d0\u53d6 \u7f51\u7edc\u5185 HOG \u7279\u5f81, \u7136\u540e\u57fa\u4e8e\u90e8\u4ef6\u6a21\u578b\u7684\u601d\u60f3\u5bf9\u7a97 \u53e3\u5185\u7f51\u7edc\u7279\u5f81\u8fdb\u884c\u878d\u5408, \u751f\u6210\u65cb\u8f6c\u4e0d\u53d8\u7279\u5f81.<\/td>\n\u98de\u673a\u68c0\u6d4b<\/td>\n<\/tr>\n
[43]Li B Y, Cui X G, Bai J. A cascade structure of aircraft detec- tion in high resolution remote sensing images. In: Proceedings of the 2016 IEEE International Geoscience and Remote Sens- ing Symposium (IGARSS). Beijing, China: IEEE, 2016.<\/td>\n<\/td>\n\u98de\u673a\u68c0\u6d4b<\/td>\n<\/tr>\n
[44]Zheng J B, Xi Y, Feng M C, Li X X, Li N. Object detection based on BING in optical remote sensing images. In: Proceed- ings of the 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP- BMEI). Datong, China: IEEE, 2016. 504\u2212509<\/td>\n<\/td>\n\u98de\u673a\u68c0\u6d4b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2.2.4\u4e0a\u4e0b\u6587\u7279\u5f81<\/h4>\n

\u5b9a\u4e49\uff1a\u4e3b\u8981\u8868\u5f81\u56fe\u50cf\u4e2d\u4e0d\u540c\u5b9e\u4f8b\u4e4b\u95f4\u7684\u987a\u5e8f\u3001\u62d3\u6251\u3001\u76f8\u90bb\u7b49\u7a7a\u95f4\u4f4d\u7f6e\u5173\u7cfb\u3002<\/p>\n

\u4e0a\u4e0b\u6587\u7279\u5f81\u901a\u5e38\u4f5c\u4e3a\u8865\u5145\u4fe1\u606f. \u9700\u8981\u501f\u52a9\u9ad8\u5c42\u8bed\u4e49\u77e5\u8bc6<\/strong> \uff1a\u5982\u989c\u8272\u3001\u5f62\u72b6 \u65e0\u6cd5\u5355\u72ec\u7528\u4e8e\u68c0\u6d4b. <\/strong> <\/p>\n

\u5728\u5730\u7269\u5206\u7c7b\u548c\u68c0\u6d4b\u4e2d, \u5927\u91cf\u7814\u7a76\u5728\u50cf\u7d20\u57fa\u7840\u4e0a, \u6269\u5145\u4e00\u4e2a\u77e9\u5f62\u7a97\u53e3<\/strong> , \u4ee5\u7a97\u53e3\u7684\u7279\u5f81\u4f5c\u4e3a\u5f53\u524d\u50cf\u7d20\u7684\u7279\u5f81\u8868\u793a, \u4ece\u800c\u5f15\u5165\u4e86\u4e0a\u4e0b\u6587\u89c6\u89c9\u7279\u5f81\u3002<\/p>\n\n\n\n\n\n\n
\u8bba\u6587<\/th>\n\u5185\u5bb9<\/th>\n<\/tr>\n<\/thead>\n
[45]Hinz S, Stilla U. Car detection in aerial thermal images by loc- al and global evidence accumulation. Pattern Recognition Let- ters, 2006, 27<\/strong>(4): 308\u2212315<\/td>\n\u5728\u9053\u8def\u68c0\u6d4b\u4e2d\u5229\u7528\u8f66\u8f86\u3001\u7eff\u5730\u548c\u9053\u8def \u4e4b\u95f4\u7684\u4e0a\u4e0b\u6587\u5173\u7cfb, \u5bf9\u7279\u5f81\u8fdb\u884c\u589e\u5f3a\u4ece\u800c\u63d0\u5347\u9053\u8def \u63d0\u53d6\u7684\u7cbe\u5ea6<\/td>\n<\/tr>\n
[46]Gu W, Lv Z H, Hao M. Change detection method for remote sensing images based on an improved Markov random field. Multimedia Tools and Applications, 2017, 76<\/strong>(17): 17719\u221217734<\/td>\n\u5229\u7528\u9a6c\u5c14\u79d1\u592b\u968f\u673a\u573a\u6765\u5bf9\u7a7a \u95f4\u76ee\u6807\u7269\u4f53\u4e4b\u95f4\u7684\u4f4d\u7f6e\u5173\u7cfb\u8fdb\u884c\u5efa\u6a21, \u4ece\u800c\u5bf9\u76ee\u6807 \u8fdb\u884c\u5206\u7c7b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

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