红树林遥感智能分类方法研究

Intelligent remote sensing classification of mangroves

利用GIS信息中的红树林地域分布规律作向导，充分利用红树林区的光谱信息进行红树林植被信息提取。在对比研究常规的红树林图象处理方法的基础上，提出适用于红树林植被信息遥感监测的智能分类方法。即通过GIS中的DEM模型获取红树林分布于区的地理范围，并与TM卫星图象数据进行Overlay操作获取红树林子区的TM资料，通过人工种经网络分类方法，将红树林群落信息分类并绘成专题图。

This paper presents a new method suitable for the classification of mangrove community,which is derived from the knowledge of mangroves distribution pattern in GIS,mangrove spectrum information and the comparison with regular mangrove remote sensing image processing technique. The method extracts the tidal zone with limited mangroves distribution from the whole map by DEM modal of GIS and acquires the mangroves sub-image by overlaying TM image with tidal zone. By using the mangroves sub-image,based on new artificial nerve net classification,the precious mangrove distribution and its community is extracted.