作者:Han, J (Han Jie)[ 1,2,3 ] ; Xie, Y (Xie Yong)[ 1,3 ] ; Gu, XF (Gu Xing-fa)[ 1,3 ] ; Yu, T (Yu Tao)[ 1,3 ] ; Liu, QY (Liu Qi-yue)[ 1,3 ] ; Gao, RJ (Gao Rong-jun)[ 1,2,3 ]

SPECTROSCOPY AND SPECTRAL ANALYSIS

卷: 35  期: 3  页: 856-861

DOI: 10.3964/j.issn.1000-0593(2015)03-0856-06

出版年: MAR 2015

摘要

Through integrating multi-spectral sensor characteristics of ZY-3 satellite, a modified reflectance-based method is proposed and used to achieve ZY-3 satellite multispectral sensor in-flight radiometric calibration. This method chooses level 1A image as data source and establishes geometric model to get an accurate observation geometric parameters at calibration site according to the information provided in image auxiliary documentation, which can reduce the influences on the calibration accuracy from image resampling and observation geometry errors. We use two-point and multi-points methods to calculate the absolute radiometric calibration coefficients of ZY-3 satellite multispectral sensor based on the large campaign at Dongying city, Shan Dong province. Compared with ZY-3 official calibration coefficients, multi-points method has higher accuracy than two-point method. Through analyzing the dispersion between each calibration point and the fitting line, we find that the residual error of water calibration site is larger than others, which of green band is approximately 67.39%. Treating water calibration site as an error, we filter it out using 95.4% confidence level as standard and recalculate the calibration coefficients with multi-points method. The final calibration coefficients show that the relative differences of the first three bands are less than 2% and the last band is less than 5%, which manifests that the proposed radiometric calibration method can obtain accurate and reliable calibration coefficients and is useful for other similar satellites in future.

通讯作者地址: Xie, Y (通讯作者)

Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100105, Peoples R China.

地址:

[ 1 ] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100105, Peoples R China

[ 2 ] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

[ 3 ] Ctr Natl Spaceborne Demonstrat, Beijing 100105, Peoples R China