遥感图像自动解译面临的问题与解决的途径

遥感图像自动解译的目的是为了满足人们从海量遥感数据中快速识别与获取不同专题信息的需要。目前图像自动解译主要依赖地物光谱特征 ,其解译精度不高。解决这一问题的主要途径包括 :抽取遥感图像多种特征并综合利用这些特征 ,利用遥感图像解译背景数据库 ,在地理信息系统支持下实现背景数据与遥感信息覆合 ,采用专家系统完成遥感图像自动解译。

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

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.