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中文摘要：
为了快速分析遥感图像特征信息，结合覆盖分类算法提出了一种商空间理论方法，其中灵活运用商空间理论的分解方法和合成技术来指导遥感图像信息的提取和整合，覆盖算法能快速精确地挖掘出有限信息的本质，为分类提取提供保障．以汶川特大地震后的高级星载热辐射热反射探测仪（ASTER）遥感图像为例进行了实验分析，证实了该方法是快速、精确有效的，可以大大减少遥感图像信息处理的工作量．
英文摘要：
Visual interpretation is the main method in remote sensed imagery interpretation, supplemented by computer image processing. It brings some problems, such as strong subjectivity, low accuracy, and high time complexity. In order to analyze feature information of remote sensing image efficiently, a new approach based on the quotient space theory and covering classification algorithm is introduced. It applies decomposition method and synthesis technology of the quotient space theory to extract and integrate remote sensing image in the quotient space theory. Covering classification algorithm is an efficient and constructive neural network algorithm and can wine nature of limited information. By taking Advanced space bone thermal emission and refleetion radiometer（ASTER） remote sensing image of 5.12 Wenchuan earthquakes an example, compared to support vector machine classification algorithm, the result of experiments shows that the method is effective. Therefore, the solution to the problems is undoubtedly a reasonable approach in processing remote sensing image.
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