Relative radiometric normalization of multi-temporal satellite images is the necessary process in change detection or image mosaic.
多时相遥感影像的相对辐射归一化是进行变化检测或拼接不可缺少的步骤。
This paper describes how to detect change of land with multi-temporal remotely sensed image. The key is how to match images, detect change and confirm the change threshold.
该文在多时相遥感图像中采用主成份差异法提取耕地变化信息，研究的关键在于差值前如何进行图像匹配、如何自动提取变化信息以及差值后如何确定变化阈值。
An image change detection algorithm based on adaptive parameter estimation for multi-temporal remote sensing is proposed in this paper.
提出一种基于自适应参数估计实现多时相遥感图像的变化检测算法。
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