In order to solve this problem, this paper proposes a split window-based method for unsupervised change detection in multichannel remotely sensed images.
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。
The effective unsupervised change-detection method is fundamental in many applications in that the suitable ground-truth information is not always available.
由于先验知识并不是很容易获得的，所以在许多实际应用中非监督图象变化检测方法是一种基本方法。
The effective unsupervised change-detection method is fundamental in many applications in that the suitable ground-truth information is not always available.
由于先验知识并不是很容易获得的，所以在许多实际应用中非监督图象变化检测方法是一种基本方法。
应用推荐