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The Problem and Approach in the Auto-interpretation of Remote Sensing Imagery

Qin Qiming(Institute of Remote Sensing & GIS of Peking University,Beijing,100871)  
It is the quick method to recognize and acquire different theme information from huge remote sensing data by the auto interpretation of remote sensing image.At present,auto interpretation of remote sensing depends mainly on the spectral features of ground objects. Its interpreting accuracy is not too high. The main methods of resolving this problem include: extracting several features of remote sensing image and using them synthetically, using background database of image interpretation, overlaying remote sensing information with background data based on GIS, realizing auto interpretation of remote sensing in support of expert system.
【CateGory Index】: TP75
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