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基于模糊综合评判的遥感图像变化检测方法

全吉成 刘一超 薛峰

现代电子技术Issue(8):112-116,120,6.
现代电子技术Issue(8):112-116,120,6.

基于模糊综合评判的遥感图像变化检测方法

Detection method of remote sensing image change based on fuzzy comprehensive evaluation

全吉成 1刘一超 2薛峰2

作者信息

  • 1. 空军航空大学 航空航天情报系,吉林 长春 130022
  • 2. 空军石家庄飞行学院 信息管理中心,河北 石家庄 050081
  • 折叠

摘要

Abstract

A detection method based on fuzzy comprehensive evaluation for remote sensing image change is proposed. The segment of remote sensing image in a certain time is carried out with the modified fuzzy C⁃means algorithm. The region labeling and features extraction of the image segmentation result are conducted. According to the feature restriction condition,the in⁃teresting target area is detected and mapped into remote image of another time phace. The spectrum statistical and texture fea⁃tures of the interesting target area from the remote sensing image at two different time phases are considered,so as to establish a fuzzy comprehensive assessment model to detect the changes.

关键词

遥感图像/变化检测/模糊C均值聚类/模糊综合评判

Key words

remote sensing image/change detection/fuzzy C-means clustering/fuzzy comprehensive evaluation

分类

信息技术与安全科学

引用本文复制引用

全吉成,刘一超,薛峰..基于模糊综合评判的遥感图像变化检测方法[J].现代电子技术,2013,(8):112-116,120,6.

现代电子技术

OACSTPCD

1004-373X

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