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遥感分类是遥感应用中的主要问题之一,分类的精度直接影响遥感数据的应用水平和实用价值。本文概述了遥感分类的方法,综述了森林植被遥感分类研究的国内外进展,在此基础上分析了森林植被遥感分类存在的问题,提出了发展对策,指出基于知识的人工智能技术和高光谱技术是森林植被遥感分类未来的发展趋势。
Remote sensing classification is one of the main problems in remote sensing applications. The accuracy of classification directly affects the application level and practical value of remote sensing data. This paper summarizes the methods of remote sensing classification, summarizes the progress of forest vegetation remote sensing classification at home and abroad, analyzes the existing problems of forest vegetation remote sensing classification, proposes development countermeasures, points out that the knowledge-based artificial intelligence and hyperspectral Is the future development trend of forest vegetation remote sensing classification.