In-flight spectral calibration of UAV hyperspectral imager based on Radiance Matching

Home > Archive>Volume 31, Issue 6, 2012 >517-522

In-flight spectral calibration of UAV hyperspectral imager based on Radiance Matching
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Affiliation:Beijing Key Lab of Spatial Information Integration Its Applications,Peking University;Institute of RS and GIS,School of Earth and Space Science,Peking University,Beijing Key Lab of Spatial Information Integration Its Applications,Peking University;Institute of RS and GIS,School of Earth and Space Science,Peking University,Beijing Key Lab of Spatial Information Integration Its Applications,Peking University;Institute of RS GIS,School of Earth and Space Science,Peking University,Beijing Key Lab of Spatial Information Integration Its Applications,Peking University;Institute of RS GIS,School of Earth and Space Science,Peking University,Beijing Key Lab of Spatial Information Integration Its Applications,Peking University;Institute of RS GIS,School of Earth and Space Science,Peking University,Beijing Key Lab of Spatial Information Integration Its Applications,Peking University;Institute of RS GIS,School of Earth and Space Science,Peking University
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This paper proposes an optimized method for in-flight spectral calibration of UAV (Unmaned Aerial Vehicle) hyperspectral imager covering visible and near infrared band. Taking simulated radiance as reference spectrum, the method uses spectrum matching technique to retrieve the most important spectral parameters center wavelength and bandwidth. With the data in Urad Front Banner, Inner Mongolia on November 14th, 2010, hyper-spectral camera on UAV was calibrated based on the laboratory spectral calibration result. The efficiency of data process was 100 times that of normal algorithm. A method of accuracy evaluation with ground targets was also developed. The in-flight spectral calibration accuracy for a sensor with bandwidth of 7nm was proved to be better than 0.5nm.

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YAN Lei, GOU Zhi-Yang, ZHAO Hong-Ying, CHEN Wei, YIN Zhong-Yi, DUAN Yi-Ni. In-flight spectral calibration of UAV hyperspectral imager based on Radiance Matching[J]. Journal of Infrared and Millimeter Waves,2012,31(6):517~522

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Received:September 28,2011
Revised:March 09,2012
Adopted:July 19,2012
Online: November 21,2012
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