高光谱遥感森林树种分类研究进展

Review on Forest Identification by Hyperspectral Remote Sensing

从基于光谱特征、基于光谱匹配和基于统计分析方法 3个方面,论述了高光谱遥感数据进行森林树种分类的应用研究状况,分析了目前研究中存在数据质量与保障性相对滞后、缺乏有效的处理算法等问题,指出了进一步完善森林树种光谱数据库和加强高光谱数据研究的高光谱树种研究方向。

Descriptions were made on spectral features, mappers and statistical analysis of hyperspectral remote sensing data of forest identification, as well as on the major problems of data quality and statistical analysis in the current application. Future studies were proposed on improvement of spectral database of tree species and on hyperspectral data mining.