摘要
相对于遥感影像,高光谱遥感影像具有光谱信息,为精准识别植被提供了新的技术支持。对高分五号(GF-5)高光谱数据进行光谱变换,结合植被指数,分析各种光谱变换方法对植被的识别能力。首先提取研究区主要的两种植被端元光谱,对实验区进行分类,依据植被分布位置,确定这两种植被分别为桉树和车桑子;然后对植被的反射率光谱进行一阶、二阶微分,连续统去除和对数变换处理;最后基于4种光谱变换及反射率光谱计算两种植被的11种植被指数,依据两种植被对应植被指数的J-M距离,判断不同光谱曲线对植被的识别能力。结果表明,5种光谱曲线对植被识别能力由强到弱依次为二阶微分、一阶微分、连续统去除、原始光谱、对数变换。
Compared with remote sensing images, hyperspectral remote sensing images have spectral information, which provides the new technical support for accurate identification of vegetation. In combination with vegetation index, the spectral transformation of GF-5 hyperspectral data is carried out and the ability of various spectral transformation methods to identify vegetation is analyzed. Firstly, the endmember spectra of the two main plants in the study area are extracted, and the experimental area is classified. According to the distribution of vegetation, the two plants are identified as eucalyptus and clammy hopseedbush. Then, the reflectivity spectra of vegetation are treated by first-order differentiation, second-order differentiation, continous removal and logarithmic transformation. Finally, based on the four spectral transformations and reflectance spectra, the 11 indices of the two vegetations are calculated, and the recognition ability of different spectral curves to the vegetation is judged according to the J-M distance of the corresponding vegetation indices of the two vegetations. The results show that the recognition ability of the five spectral curves from strong to weak is as follows, second-order differential, first-order differential, continuum removal, original spectrum, logarithmic transformation.
作者
李新澳
甘淑
胡琳
沈聪颖
汪军阳
LI Xin’ao;GAN Shu;HU Lin;SHEN Congying;WANG Junyang(Kunming University of Science and Technology,Kunming 650093,China;Information Engineering University,Zhengzhou 450001,China)
出处
《测绘科学技术学报》
CSCD
北大核心
2021年第4期380-383,共4页
Journal of Geomatics Science and Technology
基金
国家自然科学基金项目(41861054,41561083)。
关键词
高分五号
高光谱
光谱变换
植被指数
J-M距离
GF-5
hyperspectral
spectral transformation
vegetation index
Jeffreys-matusita distance
