To improve remotely sensed imagery classification accuracy is one of the main topics in the field of remote sensing application research.
提高计算机遥感影像的分类精度，是遥感应用中研究的主要问题之一。
In this paper the relaxation algorithms and their applications in image matching, edge extraction and remote sensing imagery classification are described.
本文阐述了松弛法算法及其在图象匹配、边缘抽取及遥感图象分类等方面的应用。
In this paper the relaxation algorithms and their applications in image matching, edge extraction and remote sensing imagery classification are described.
本文阐述了松弛法算法及其在图象匹配、边缘抽取及遥感图象分类等方面的应用。
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