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《Journal of Data Acquisition & Processing》 2005-01
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Information Extraction from High Resolution Remote Sensing Image and Parcel Unit Extraction Based on Features

MING Dong-ping, LUO Jian-cheng, ZHOU Cheng-hu WANG Min, ZHENG Jiang, CHEN Qiu-xiao, SHEN Zhan-feng (The State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Science and Natural Resources Research, Chinese Academy of Science, Beijing,100101,China)  
The advantages of remote sensing image process based on per-parcel are analyzed compared to the per-pixel. Based on huaman′s visual mechanism and theory of the scale spatial, this paper designs the technique flow of multi-scale information extraction from high resolution remote sensing images based on features: rough classification-parcel unit extraction-expression of feature-intelligent illation-information extraction or target recognition. Especially, this paper presents the technical route of parcel unit extraction and gives an experiment with IKONOS and QUICKBIRD images. Experiment shows that the methods is convenient to integrating visual and environmental knowledge and can improve the level of automatization and intelligentization of remote sensing data process and application.
【Fund】: 国家自然科学基金 ( 4 0 1 0 1 0 2 1 )资助项目 ;; 中国科学院地理科学与资源研究所知识创新工程领域前沿 ( CX-IOG-D0 2 -0 1 )资助项目
【CateGory Index】: TP751
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