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基于模糊聚类的遥感图像与现有地形图的变化检测方法
引用本文:陈文熙,冯钟葵. 基于模糊聚类的遥感图像与现有地形图的变化检测方法[J]. 遥感信息, 2009, 0(5): 56-60
作者姓名:陈文熙  冯钟葵
作者单位:1. 中国科学院研究生院,北京,100080;中国科学院对地观测与数字地球科学中心,北京,100086
2. 中国科学院对地观测与数字地球科学中心,北京,100086
摘    要:提出了一种基于模糊聚类的遥感图像与现有地形图的变化检测方法。该方法通过模糊聚类对遥感图像和地形图的像元进行分类,然后基于分类结果实现图像的叠合,从而显示图像间的变化情况。本文通过一个图像变化检测实例说明该方法能够快速、直观的反映遥感图像与现有地形图之间的变化,从而避免了参考点均方误差法无法完全反映图像实际变化情况的问题。

关 键 词:遥感图像  变化检测  模糊聚类
收稿时间:2008-12-17
修稿时间:2009-04-07

A Method of Change Detection between Remote Sensing Imagery and Geographic Map Based on Fuzzy Cluster
Affiliation:CHEN Wen-xi,FENG Zhong-kui(① Graduate University of the Chinese Academy of Sciences,Beijing 100080; ② The Center for Earth Observation and Digital Earth of CAS,Beijing 100086)
Abstract:This dissertation delivers a method of detecting the change of remote sensing imagery in compare with existed geographic map based on fuzzy cluster theory. The method uses fuzzy cluster to classify the pixels of the remote sensing imagery and geographic map, and show them by overlaying based on the classification results, which could reflect the change of the image. This paper shows how the method reflects the change of the remote sensing imagery in compare with geographic map promptly and visually by an example of testing the change of image, and it avoids the problem that the mean square error of control points cannot fully display the change of the imagery.
Keywords:remote sensing imagery  change detection  fuzzy cluster
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