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基于像斑差熵的遥感影像变化检测
引用本文:李亮,舒宁,李雪.基于像斑差熵的遥感影像变化检测[J].遥感信息,2011(4):38-41.
作者姓名:李亮  舒宁  李雪
作者单位:武汉大学遥感信息工程学院,武汉,430079
基金项目:湖北省自然科学基金计划重大项目(2006ABD003)
摘    要:提出了利用遥感影像分割获取像斑进行变化检测的方法。构造了像斑差熵作为衡量变化的指标,选取一定数目训练样本,利用目标函数法找到最佳阈值,并同相关系数法进行了比较。实验结果显示像斑差熵更适用于遥感影像变化检测。

关 键 词:像斑  变化检测  影像分割  目标函数  像斑差熵

Remote Sensing Image Change Detection Based on the Entropy Difference of Image Segment
LI Liang,SHU Ning,LI Xue.Remote Sensing Image Change Detection Based on the Entropy Difference of Image Segment[J].Remote Sensing Information,2011(4):38-41.
Authors:LI Liang  SHU Ning  LI Xue
Affiliation:LI Liang,SHU Ning,LI Xue(School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079)
Abstract:This paper proposed a complete change detection method,which uses the segments obtained from the image segmentation.An entropy difference is constructed and the threshold is calculated by the object function through selecting some training samples.Using the entropy difference compared with the correlation coefficient method,it shows that the entropy difference is more suitable for the remote sensing image change detection.
Keywords:image segment  change detection  image segmentation  object function  entropy difference  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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