遥感影像植被信息提取方法研究及思考

Method for Vegetation Information Extraction from Remote Sensing Images

从植被光谱特征出发,对植被信息提取的方法和现状进行了综述,其中主要介绍了几种具有代表性的植被提取方法,如:植被指数提取法、NDVI与波段合成法、HIS融合法、分级分类提取法、基于知识库提取法等,对各种方法的原理、特点、优势与限制进行了分析、对比、思考,并展望了下一步研究方向。

Based on the spectral characters of vegetation, this paper attempts to analyze the methods and actuality of vegetation information extraction, particularly discusses several typical methods, such as Vegetation Index, NDVI combined with bands, HIS, Hierarchical Classification Technical Extraction and Knowledge-based Vegetation Extraction methods, together with their principles, effects, functions and limited conditions. Finally, summary and prospect are described, in order to give guidance to practical work.