从高光谱遥感影像提取植被信息

Extracting vegetation information from hyperspectral imagery

遥感可以快速有效地监测大面积植被的种类、特性、长势等各类信息。高光谱遥感数据因其特有的高光谱分辨率特性使其在植被生态环境领域具有极大的应用潜力。植被信息作为生态环境评价的重要参数对区域生态环境的监测和建设具有重要的意义。本文基于云南省鹤庆县北衙的高光谱遥感数据用SAM方法对植被信息进行了提取,参考光谱使用ASD光谱辐射仪采集的植被光谱曲线。文中对高光谱遥感影像的辐射定标和大气校正进行了研究,针对影响光谱辐射仪采集的主要因素采取了相应的措施,并对光谱曲线分类及参考光谱曲线的选取进行了研究。将选取出的参考光谱曲线与大气校正后的遥感影像进行SAM匹配提取出植被信息,经过与实地调查资料比较并计算总体精度和kappa系数,计算结果达到预期精度。最后将分类结果转换为矢量图,经过投影转换为大地坐标后制作出北衙植被分布图。

The vegetation classification, characteristic and growth vigour in large areas can be detected quickly using remote sensing. Hyperspectral remote sensing has potential application in ecology field for its higher spectrum resolution. Vegetation information as an important parameter of entironment evaluation can benefit for construction and supervision in region entironment. In this paper, the vegetation information in Beiya region can be extracted by SAM algorithm using hyperspectral remote sensing image. The spectrum acquired by ASD handhold spectroradiometer in situ is used as reference spectrum. This paper investigates the atmospheric correction and calibration of hyperspectral remote sensing data. Meanwhile it researches the main influence factors and its response measure of acquiring vegetation reflectance spectral and choosing the endmember spectrum. The classification result is made by SAM match and checked by overall accuracy and Kappa coefficient. Finally the vegetation distribution map is made by projection transformation.