李建磊;王光辉;杨化超;

• 1:中国矿业大学
• 2:国家测绘地理信息局卫星测绘应用中心

摘要(Abstract)：

传统的线性多变量变化检测方法在处理高分辨率遥感影像变化检测时,容易出现明显的"椒盐现象"的问题。该文基于面向对象的分析思想,提出核典型相关的变化检测方法。首先对高分辨率遥感影像进行多尺度分割获得影像对象;然后运用核函数多变量典型相关分析,构造差异向量,并进行最小噪声变换,提高影像对象的信噪比;最后采用ROC曲线确定最佳的变化检测阈值。实验结果表明,该方法不仅消除了"椒盐"现象的干扰,而且提高了变化检测的精度。

关键词(KeyWords)： 变化检测;多尺度分割;核典型相关;高分辨率遥感影像

Abstract:

Keywords:

基金项目(Foundation): 高分辨率对地观测系统重大专项(AH1601)

作者(Authors): 李建磊;王光辉;杨化超;

DOI: 10.16251/j.cnki.1009-2307.2018.01.024

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