基于光谱特征拟合的高光谱遥感影像植被覆盖度提取

植被光谱中可见光部分的吸收谷主要由叶绿素强烈吸收引起,不同植被覆盖度下光谱吸收谷的深度和形状不同,因而可以通过比较光谱吸收谷的深度和形状来提取植被覆盖度。该文采用基于光谱吸收特征匹配的光谱特征拟合SFF方法从高光谱遥感影像中提取植被覆盖度,参考光谱采用ASD光谱仪在影像覆盖地区采集的植被光谱,通过将参考光谱与像元光谱连续统去除处理后进行SFF匹配,完成植被覆盖度的提取并生成植被覆盖度图。研究结果与植被指数、光谱夹角映射方法及实地调查资料之间存在较高一致性。

Extracting Vegetation Coverage from Hyperspectral Remote Sensing Image Using Spectral Feature Fitting

The absorption vale in vegetation visible spectrum is caused by intensive absorption of chlorophyll,and its depth and shape is different in different vegetation coverage,so the vegetation coverage can be extracted by comparing the depth and shape of the absorption vale.This paper extracts the vegetation coverage from the hyperspectral remote sensing image using Spectral Feature Fitting(SFF) method which is based on the spectral absorption feature matching.The reference spectral is acquired by the ASD Field Spec Pro handhold spectroradiometer in site.The vegetation coverage is extracted by matching continuum removal curves of the image spectral and the field spectral using SFF method.The vegetation coverage image was outputted at last.Comparing with the result extracted by VI(Vegetation Index),SAM(Spectral Angle Mapper) and the filed data show that they are consistent with each other.