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《Science of Surveying and Mapping》 2013-04
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Retrieval of high spatial resolution remotely sensed imagery based on Contourlet transform

XU Rui ①②,ZENG Yan-fang ③(①Key Lab of Spatial Data Mining and Lnformation Sharing of Ministry of Education Spatial Information Research Center Fuzhou University,Fuzhou 350002,China;②Department of Computer and Information Science,Fujian University of Technology,Fuzhou 350108,China;③Tourism College,Fujian Normal University,Fuzhou 350108,China)  
Contourlet transform was introduced in the research of texture extraction from high spatial resolution remotely sensed imagery.The mean,variance,and energy of sub-band coefficient matrix in different scales and directions were taken as texture features.Bigger weights were assigned to the features with better discrimination quality.A case study of texture retrieval,in which QucikBird imagery were taken as sample data and the Quintuple tree decomposition strategy was employed,showed that the proposed method based on Contourlet transform would be superior to the one based on Gabor wavelet transform in terms of the result of texture feature information extraction from high spatial resolution remotely sensed imagery.
【Fund】: 国家自然科学基金项目(40871206);; 国家重点基础研究发展计划(973计划)项目子课题(2006CB708306);; 福建省教育厅科技研究项目(JB11116)
【CateGory Index】: P237
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【Citations】
Chinese Journal Full-text Database 5 Hits
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 GENG Li-chuan,MENG Ting-ji,LIU Yuan-bao,QIN Yong-zhi(66240 Troops,Beijing 100042,China);Remote Sensing Image Retrieval Based on Artificial Immune System[J];Beijing Surveying and Mapping;2011-02
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