HJ-1A高光谱数据高效大气校正及应用潜力初探  

A Highly Efficient Atmospheric Correction Method for HJ-1A/HSI and the Exploration on Its Application Capability

作　　者：马灵玲[1] 王新鸿[1] 唐伶俐[1] 

机构地区：[1]中国科学院光电研究院,北京100190

出　　处：《遥感技术与应用》2010年第4期525-531,共7页Remote Sensing Technology and Application

摘　　要：环境与灾害监测预报小卫星于2009年3月30日开始正式交付使用,A星上搭载了我国自主研制的空间调制型干涉高光谱成像仪(HSI),作为一种新型传感器,HSI数据的应用在我国还处于探索阶段。要充分发挥超光谱数据优势、进行有效的遥感应用,首先需要消除遥感成像过程中的大气影响,获得不同波段的地物真实反射辐射信息。通过使用FLAASH大气辐射传输模型对HSI数据进行大气校正,并与表观反射率进行对比分析,证明了校正后获得的地表光谱反射率的有效性。同时基于校正后得到的光谱反射率图像,进行改良型土壤调整植被指数(MSAVI)与叶面积指数(LAI)的反演,初步展现了HSI数据的实际应用效果。A Hyper-Spectral Imaging sensor（HSI） developed independently by China was loaded on the HJ-1A satellite and put into service on March 30,2009.As a new type of sensors,the applications of HSI are still in the exploration stage.In order to make full use of HSI data and carry out effective remote sensing applications,the first thing need to do is to eliminate the atmospheric effect in the process of imaging and obtaining the real land surface radiation information.The FLAASH（Fast Line of Sight Atmospheric Analysis of Spectral Hypercubes） atmospheric correction model is used to correct the atmospheric effect of HJ-1A/HSI data.The corrected spectral reflectance is compared with the apparent reflectance,and the validity of atmospheric effect correction method is well demonstrated.Meanwhile the preliminary application effect of HSI data is exhibited by the retrievals of modified soil adjusted vegetation index（MSAVI） and leaf area index（LAI） based on the atmospherically corrected spectral reflectance image.

关 键 词：HJ-1A 干涉成像光谱仪 FLAASH 大气校正 HSI 高光谱遥感 

分 类 号：TP752.2[自动化与计算机技术—检测技术与自动化装置] TP731[自动化与计算机技术—控制科学与工程]