基于分类融合的武汉市多时相遥感影像监测

Environment Monitoring on WUHAN Based on Classificatory Fusion

利用多时相遥感影像监测环境变化是目前最快捷和有效的手段之一。本文以武汉市两个时期的 TM卫星影像为试验数据 ,通过使用分类融合的方法 ,监测武汉市的水面、城区和树林的动态变化 ,并分析了变化的原因和对环境的影响 。

It is a most quick and most effective approach to monitoring environment used multi temporal remote sensing images at present.This paper provides a approach to monitoring dynamic change of water and the city zone and woods on Wuhan based on classificatory fusion.It analyses reasons of change and influence on environment, and make a method and a suggestion to improve environment on Wuhan.