一种新的多波段遥感影像变化检测方法

A Novel Multi-band Remote Sensing Image Change Detection Algorithm

随着遥感技术的发展,采用遥感影像对国土资源进行动态监测已经成为了热点。目前常用的差值法和分类后比较变化检测方法中存在着各种缺陷。提出一种基于模糊C均值聚类(FCM)算法的遥感影像变化检测方法,利用一个改进的模糊C均值聚类算法进行遥感影像分类处理,然后引入多波段综合变化掩膜的思想进行变化检测。实验结果表明这种方法是有效的,提高了检测精度,检测结果为国土资源调查提供了重要依据。

With the development of remote sensing technology, using the remote sensing images for monitoring land and resources has become a hotspot. Image difference and post-classification analysis are two normal change detection methods. However,there are many disadvantages in these methods. A novel remote sensing image change detection algorithm based on Fuzzy C-Means is presented. The improved FCM algorithm is employed to classify remote sensing image. Then a multi-band integration change mask method is employed to execute change detection. Experiments show that the method is effective, and improves the veracity of change detection. The change detection results can offer an important reference for land and resources survey.