详细信息
机载AISA Eagle Ⅱ高光谱数据处理——以额济纳旗试验区为例 被引量:5
The Processing of Airborne AISA Eagle Ⅱ Data in Ejina Banner Study Area
文献类型:期刊文献
中文题名:机载AISA Eagle Ⅱ高光谱数据处理——以额济纳旗试验区为例
英文题名:The Processing of Airborne AISA Eagle Ⅱ Data in Ejina Banner Study Area
作者:荚文[1] 庞勇[1] 岳彩荣[2] 李增元[1] 车涛[3] 马明国[4]
第一作者:荚文
机构:[1]中国林业科学研究院资源信息研究所;[2]西南林业大学林学院;[3]中国科学院寒区旱区环境与工程研究所黑河遥感试验研究站;[4]西南大学地理科学学院
年份:2016
卷号:31
期号:3
起止页码:504-510
中文期刊名:遥感技术与应用
外文期刊名:Remote Sensing Technology and Application
收录:CSTPCD;;北大核心:【北大核心2014】;CSCD:【CSCD2015_2016】;
基金:国家863计划项目(2012AA12A306);国家973计划项目(2013CB733404);国家自然科学基金项目(91125001)
语种:中文
中文关键词:AISA;Eagle;Ⅱ;高光谱;预处理;黑河综合遥感联合试验
外文关键词:AISA Eagle Ⅱ; Hyperspectral; Pre-Processing; Hi Water
分类号:TP75
摘要:机载AISA EagleⅡ传感器为"黑河综合遥感联合试验(HiWATER)"额济纳旗试验区提供航空高光谱影像。介绍了高光谱原始数据的辐射定标、几何校正、大气校正等预处理过程。根据研究区地形差异以及数据使用目的的多样性,几何校正中可选择是否加高精度DEM产品,大气校正的选择策略可分为平坦地形无DEM的大气校正和起伏地形添加DEM大气校正。本试验数据采用加载高精度DEM的几何校正和平坦地形大气校正方法,经过预处理后的高光谱数据产品,其地理坐标与高分辨率的CCD影像对比,地理位置信息较为准确;与实测地物光谱对比,影像光谱能较好地体现地物光谱的特性,数据可用作定量遥感进一步的研究。
The airborne AISA EagleⅡ sensor collected hyperspectral images for"Heihe Watershed Allied Telemetry Experimental Research"(HiWATER)in the study area of Ejina Banner.This paper presents some of the pre-processing methods such as radiance calibration,geometric correction and atmosphere correction etc.According to the geography distinction of study area and diversity purposes of using data,it is selectable to load the high precision DEM data in the processing of geometric correction.And the strategies of atmospheric correction have two modes:flat terrain atmospheric correction(no DEM data)and rugged topography atmospheric correction(add DEM data).This experiment choose the geometric correction load with high precision DEM data and flat terrain atmospheric correction.After above pre-processing procedure,the geographic position as well as spectral characteristics in hyperspectral images were achieved at higher accuracies which compared with the geographic position in high resolution CCD image and spectral characteristics of field plots,the processed data can be used for further research in quantitative remote sensing.
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