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《Geo-information Science》 2003-01
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Knowledge-Based Intelligent RS Understanding System

ZHENG JiangLUO JianchengCHEN QiuxiaoCAI ShaohuaLU XuejunSHEN ZhanfengSUN Qinghui(Nation Laboratory of Resources and Environment Information System, IGSNRR, CAS, Beijing 100101)  
The intelligent remotely sensed image understanding is a topic of general interest on geo-analysis of Remote Sensing. This paper takes a brief review on the current intelligent methods and their shortcomings, points out the necessities of change to the multi-features unit method and how to merge knowledge in the process properly.Based on the discussion above, the fundamental ideas of the multi-feature analysis of remotely sensed images and knowledge-based neural network were introduced, and the whole framework of the this study is proposed.
【Fund】: 国家自然科学基金项目资助 ( 40 10 10 2 1);; 中国科学院地理科学与资源研究所领域前沿项目 ( V90 0 )
【CateGory Index】: P237
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