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无人机高光谱成像仪场地绝对辐射定标及验证分析
作者姓名:Gou ZY  Yan L  Chen W  Jing X  Yin ZY  Duan YN
作者单位:北京大学地球与空间科学学院遥感与地理信息系统研究所;北京大学空间信息集成与3S工程应用北京市重点实验室
基金项目:国家(863计划)重点项目(2008AA121806)资助
摘    要:利用2010年11月14日于内蒙古乌拉特前旗开展的无人机遥感载荷综合验证场科学实验数据,对航飞中搭载的高光谱成像仪进行了场地绝对辐射定标。采用朗伯性较好、且光谱性能均一,反射率分别为4.5%,20%,30%,40%,50%和60%的6块高光谱辐射性能灰度靶标,利用反射率基法对高光谱成像仪进行绝对辐射定标。为了验证辐射定标结果,实验中另外铺设了四块高光谱性能辐射刃边靶标用以模拟在自然地物中出现反射峰或吸收峰时采用辐射定标系数计算表观辐亮度所产生的差异。结果表明因仪器噪声较大,在前15个波段(蓝光波段)误差较大。在靶标光谱较为均一的波段定标反演误差较小,一般小于10%,而在靶标光谱出现反射峰区段则误差较大,但一般在10%~25%之间。

关 键 词:辐射定标  高光谱性能靶标  表观辐亮度  高光谱成像仪

In-flight absolute radiometric calibration of UAV hyperspectral camera and its validation analysis
Gou ZY,Yan L,Chen W,Jing X,Yin ZY,Duan YN.In-flight absolute radiometric calibration of UAV hyperspectral camera and its validation analysis[J].Spectroscopy and Spectral Analysis,2012,32(2):430-434.
Authors:Gou Zhi-yang  Yan Lei  Chen Wei  Jing Xin  Yin Zhong-yi  Duan Yi-ni
Institution:Institute of RS & GIS, School of Earth and Space Science, Peking University, Beijing 100871, China. gouzhiyang@163.com
Abstract:With the data in Urad Front Banner, Inner Mongolia on November 14th, 2010, hyper-spectral camera on UAV was calibrated adopting reflectance-based method. During the in-flight absolute radiometric calibration, 6 hyper-spectral radiometric gray-scale targets were arranged in the validation field. These targets' reflectances are 4.5%, 20%, 30%, 40%, 50% and 60% separately. To validate the calibration result, four extra hyper-spectral targets with sharp-edge spectrum were arranged to simulate the reflection and absorption peaks in natural objectives. With these peaks, the apparent radiance calculated by radiation transfer model and that calculated through calibration coefficients are much different. The result shows that in the first 15 bands (blue bands), errors are somewhat huge due to the noises of equipment. In the rest bands with quite even spectrum, the errors are small, most of which are less than 10%. For those bands with sharp changes in spectral curves, the errors are quite considerable, varying from 10% to 25%.
Keywords:Radiometric calibration  Hyper-spectral targets  Apparent radiance  Hyper-spectral imager
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