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《Science of Surveying and Mapping》 2013-01
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Segmentation of remote sensing imagery based on Gabor texture description

XU Fang(School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China)  
The paper introduced the method of a split-merge plus pixel-wise refinement based on the hierarchical Gabor texture feature.Without a priori knowledge of imagery contents,the remote sensing imagery can be segmented into different regions,the unsupervised segmentation of remote sensing imagery was achieved.Experimental results showed that it could clearly describe the high,low-frequency characteristics of the imagery based on Gabor filter multi-resolution analysis,and it was effective to use the Gabor texture features in high-resolution remote sensing imagery segmentation.The paper compared the segmentations with the eCognition's.Experimental results showed that the method was better than the eCognition's.
【Fund】: 国家自然科学基金项目(41071292)
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 3 Hits
1 XIAO Peng-feng,FENG Xue-zhi,ZHAO Shu-he,SHE Jiang-feng(Department of Geographical Information Science,Nanjing University,Nanjing 210093,China);Segmentation of High-resolution Remotely Sensed Imagery Based on Phase Congruency[J];Acta Geodaetica et Cartographica Sinica;2007-02
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3 GONG Peng~1,LI Xia~2,XU Bing~3(1.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by the Institute of Remote Sensing Applications,Chinese Academy of Sciences,and Beijing Normal University,Beijing 100101,China;2.School of Geography and Planning,Sun Yat-sen University,Guangzhou 510275, China;3.Department of Geography,University of Utah,UT 84128,USA and Department of Environmental Scienceand Engineering,Tsinghua University,Beijing 100084,China);Interpretation Theory and Application Method Development for Information Extraction from High Resolution Remotely Sensed Data[J];Journal of Remote Sensing;2006-01
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 ZHU Chun-hua et al(Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101);Application of Object-oriented Approach in the Spot5 Image Land Classification[J];Journal of Anhui Agricultural Sciences;2009-07
2 LAI Zulong,SHEN Shaohong,CHENG Xinwen,ZHANG Jie;Change Detection of High-resolution Remote Sensing Image Based on Map Spot[J];Bulletin of Surveying and Mapping;2009-08
3 LIN Hui,LIU Pei,XIA Junshi,LIANG Liang;Research on Object-oriented Multi-scale Segmentation Algorithm Based on Watershed Transformation[J];Bulletin of Surveying and Mapping;2011-10
4 LI Shuxi,SONG Yang,LI Changhui;Quick Extraction of Buildings Based on DSM and RGB-Aerial Image[J];Bulletin of Surveying and Mapping;2012-01
5 DOU Wen1, CHEN Yun-hao2, HE Hui-ming2Transportation College, Southeast University, Nanjing 210096, China; 2. College of Resources Science, Beijing Normal University, Beijing 100875, China;Theoretical Framework of Optical Remotely Sensed Image Fusion[J];Acta Geodaetica et Cartographica Sinica;2009-02
6 CHEN Jie1,DENG Min1,XIAO Pengfeng2,YANG Minhua1,MEI Xiaoming1,LIU huimin1 1.Department of Surveying and Geo-informatics,Central South University,Changsha 410083,China;2.Department of Geogra-phical Information Science,Nanjing University,Nanjing 210093,China;Object-oriented Classification of High Resolution Imagery Combining Support Vector Machine with Granular Computing[J];Acta Geodaetica et Cartographica Sinica;2011-02
7 CHEN Rongyuan1,3,ZHENG Chen2,3,WANG Leiguang3,QIN Qianqing3 1.Information Department of Hunan University of Commerce,Changsha 410205,China;2.School of Mathematics and Statistics,Wuhan University,Wuhan 430072,China;3.State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;A Region Growing Model Under the Framework of MRF for Urban Detection[J];Acta Geodaetica et Cartographica Sinica;2011-02
8 ZHOU Liguo1,FENG Xuezhi2,XIAO Pengfeng2,MA Weichun1 1.Department of Environmental Science and Engineering,Fudan University,Shanghai 200433,China;2.School of Geographic and Oceanographic Sciences,Nanjing University,Nanjing 200091,China;Linear Feature Detection for High-resolution Remotely Sensed Imagery in Frequency Domain[J];Acta Geodaetica et Cartographica Sinica;2011-03
9 ZUO Zhiquan1,ZHANG Zuxun2,ZHANG Jianqing2 1.Chinese Academy of Surveying and Mapping,Beijing 100830,China;2.School of Remote Sensing and Information Engineering of Wuhan University,Wuhan 430079,China;A High-quality Image Objects Generating Method Based on Multi-resolution Topology Network[J];Acta Geodaetica et Cartographica Sinica;2012-01
10 LI Hui1,XIAO Pengfeng1,FENG Xuezhi1,FENG Li2,WANG Ke1 1.Department of Geographical Information Science,Nanjing University,Nanjing 210093,China;2.Institute of Regional Development Planning,Stuttgart University,Stuttgart 70569,Germany;Multiscale Edge Detection in Multispectral Remotely Sensed Imagery Based on Vector Field Model[J];Acta Geodaetica et Cartographica Sinica;2012-01
【Secondary Citations】
Chinese Journal Full-text Database 4 Hits
1 LI Feng~(1,2), PENG Jia-xiong~1(1. Institute of Pattern Recognition & Artificial Intelligence, Huazhong University of Science & Technology, State Education Commission Key Laboratory, Wuhan, 430074, China; 2. National Laboratory on Machine Perception, Peking University, Beijing, 100871, China);Wold-Based Remote Sensing Image Segmentation[J];Acta Geodaetica Et Cartographic Sinica;2003-04
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