摘要
无论是多角度遥感的发展、还是偏振、高光谱遥感的发展,它们有一个相同的目的,即利用电磁波的种种特性、以及空间特性来对地球表面的一切地物进行精确的识别。任何单一的方法和手段不可能完整地描述和反映地物的所有特征。偏振测量是目标测量识别技术中不可缺少的技术之一,并且成为近年来全世界目标识别领域中的研究热点。由于定量遥感的反射强度对植被遥感的影响不可忽视,反射辐射信号呈现饱和或过弱都不能被检测到。而偏振是植被定量遥感的重要手段,因而有必要开发一种克服由反射强度强弱引起的植被反演误差的方法,这也是我们目前的研究目标。如果反射的辐射信号太强或太弱,都会影响遥感的准确性,而来自植被的偏振光可以提供有用的信息,特别是当反射的辐射信号饱和时,使得传感器不能获得足够有用的非偏振信息。本研究采用基于地面的偏振成像光谱仪系统,开发了一种偏振方法来克服反射强度过强过弱引起的植被反演误差。利用FISS-P偏振成像光谱仪系统研究了反射强度对遥感植被NDVI和DoLP效用的影响,实验地点在北京市中国科学院奥林匹克科技园。在对目标采样时对反射率强,反射率弱以及反射率适中的植被分别测量,同时对目标植被的不同波段(470,555,670,864nm)的DoLP进行计算与分析。地基成像光谱仪系统(FISS-P)提供了具有偏振信息的高空间分辨率图像,我们可以确定在阴影和强反射区域中单个像素的光谱偏振特性。在成像光谱信息的基础上,利用光的偏振性来对地物的物理特性进行分析。本文使用斯托克斯分量来表征反射光的各个偏振分量,使用线偏振度(DoLP)表征反射光偏振程度。信号饱和度和阴影效应导致归一化植被指数(NDVI)植被密集程度非常低,造成严重的反演误差,然而强反射对线偏振度(DoLP)的影响不大。研�
Whether the development of multi angle remote sensing,or the developmentof polarization and hyperspectral remote sensing all have the same purpose.They use the characteristics and spatial characteristics of electromagnetic wavesto accurately identify all the surface of the earth’s object.Any single methodand means cannot fully describe and reflect all the features of the ground.Polarization measurement is one of the indispensable technologies in target recognition and recognition technology,and has become a research hotspot in the fieldof target recognition in the world in recent years.Since the effects of strong and weak reflection intensity on vegetation remote sensing cannot be ignoredin quantitative remote sensing inversion,which renders the reflected radiant signal as either saturated or too weak to be detected.Polarization is an important method for the quantitative remote sensing of vegetation.Consequently,it isnecessary to develop a method to overcome the vegetation inversion error causedby strong and weak reflection intensities,which is the goal of our present research.If the reflected radiant signal is either too strong or too weak,it will affectthe accuracy of remote sensing.Polarized light from vegetation can provide useful information,especially when the reflected radiant signal is saturated so that the sensor cannot obtain enough useful non-polarization information.This study developed a polarization method to overcome the vegetation inversion error caused by strong or weak reflection intensity using a ground-based polarized field imaging spectrometer system.The FISS-P polarization imaging spectrometersystem was used to study the effect of reflection intensity on the utility of remote sensing vegetation NDVI and DoLP.The experiment was conducted at the Olympic Science and Technology Park of Chinese Academy of Sciences in Beijing.When targets are sampled,the vegetation with strong reflectivity,low reflectivity and moderate reflectivity is measured respectively.Meanwhile,the DoLP of targetvegetation
作者
赵守江
杨彬
焦健楠
杨鹏
吴太夏
王雪琪
晏磊
ZHAO Shou-jiang;YANG Bin;JIAO Jian-nan;YANG Peng;WU Tai-xia;WANG Xue-qi;YAN Lei(The Beijing Key Lab of Spatial Information Integration and Its Applications,School of Earth and Space Sciences, Peking University,Beijing 100871,China;School of Mechanical and Aerospace Engineering,Nanyang Technological University,639798,Singapore;School of Earth Sciences and Engineering,Hohai University,Nanjing 211100,China)
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2018年第10期3315-3320,共6页
Spectroscopy and Spectral Analysis
基金
The National Natural Science Foundation of China(61101157,41571432)。
关键词
线偏振度
场成像光谱仪系统
NDVI
反射强度
Degree of linear polarization
Field imaging spectrometer system
NDVI
Reflection intensity
