该文提出一种基于主分量分析(pca)的SAR图像变化检测算法。
This paper presents an algorithm about SAR image change detection based on Principal Component Analysis (PCA).
针对这一问题，本文提出一种基于分割窗的无监督多通道遥感图像变化检测方法。
In order to solve this problem, this paper proposes a split window-based method for unsupervised change detection in multichannel remotely sensed images.
遥感图像变化检测是分析同一地区不同时相的遥感图像，提取出其中感兴趣的变化信息。
Remote sensing image change detection is to analyze the same area of remote sensing images at different phases, which extract information of interest to change.
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