[1] Demir B,Bruzzone L. A Novel Active Learning Method in Relevance Feedback for Content-Based Remote Sensing Image Retrieval [J]. IEEE Transactions on Geoscience and Remote Sensing(S0196-2892),2015,53(9):2323–2334.
[2] Piedra-Fernandez J A,Ortega G,Wang J Z,et al. Fuzzy Content-Based Image Retrieval for Oceanic Remote Sensing [J]. IEEE Transactions on Geoscience and Remote Sensing(S0196-2892),2014,52(9):5422–5431.
[3] Aptoula E. Remote Sensing Image Retrieval with Global Morphological Texture Descriptors [J]. IEEE Transactions on Geoscience and Remote Sensing(S0196-2892),2013,52(5):3023-3034.
[4] YAO Hongyu,LI Bicheng,CAO Wen. Remote sensing imagery retrieval based-on Gabor texture feature classification [C]// Proceedings of 7th International Conference on Signal Processing,Aug 31-Sept 4,2004,1:733–736.
[5] LU Lizhen,LIU Renyi,LIU Nan. Remote Sensing Image Retrieval Using Color and Texture Fused Features [J]. Journal of Image and Graphics,2004,9(3):328-332.
[6] YANG Yi,Newsam Shawn. Geographic image retrieval using local invariant features [J]. IEEE Transactions on Geoscience and Remote Sensing(S0196-2892),2013,51(2):818-832.
[7] YANG Jin,LIU Jianbo,DAI Qin. An Improved Remote Sensing Image Retrieval Method Based on Bag of Word Framework [J]. Geomatics and Information Science of Wuhan University,2014,39(9):1109-1113.
[8] David G Lowe. Distinctive Image Features from Scale-Invariant Keypoints [J]. International Journal of Computer Vision (S0920-5691),2004,60(2):91-110.
[9] Gondra I,Heistcrkamp D R. Content-based Image retrieval with the normalized information distance [J]. Computer Vision and Image Understanding(S1077-3142),2008,111(2):219-228.
[10] YANG Yi,Newsam Shawn. Bag-of-Visual-Words and Spatial Extensions for Land-Use Classification [C]// Proceedings of the 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems,San Jose, California,Nov 2-5,2010:270-279.