TY - JOUR
T1 - Imaging spectrometry radiometric cross-calibration based on precise spectral response matching
AU - Zhou, Guan Hua
AU - Jiang, He
AU - Zhao, Hui Jie
AU - Jia, Fei
PY - 2012/12
Y1 - 2012/12
N2 - The present research describes the development of an improved cross-calibration method of on-orbit satellite sensor. The EO-1/Hyperion was taken as the referenced sensor and HJ-1A/HSI was taken as the uncalibrated sensor. The differences between the bands configurations were removed by the precise spectral response matching using the deconvolution method, which significantly reduced the radiometric calibration uncertainty of HSI sensor. The calibration coefficients of HSI for all 115 bands were acquired. The uncertainties of calibration coefficient from band 1 to band 60 stably lie in 5%~8%, and for all the other bands excerpt for the oxygen absorption which lies in at 760 nm and the water vapor absorption which lies in at 940 nm, the uncertainties of calibration coefficients are changed from 7% to 18%, which increased as the wavelength increased. Contrasted Compared with the traditional spectral matching method, the method proposed can improve the calibration accuracy by about 50%, which can meet the demand of the quantitive application for hyperspectral remote sensing data. It demonstrated the good precision and reliability of the method. It solved the spectral matching problem when the band configuration is big enough so that the cross calibration accuracy is too low and is difficult to apply in hyperspectral sensor cross-calibration, and provides a new method to frequently update the calibration coefficients for hyperspectral imager.
AB - The present research describes the development of an improved cross-calibration method of on-orbit satellite sensor. The EO-1/Hyperion was taken as the referenced sensor and HJ-1A/HSI was taken as the uncalibrated sensor. The differences between the bands configurations were removed by the precise spectral response matching using the deconvolution method, which significantly reduced the radiometric calibration uncertainty of HSI sensor. The calibration coefficients of HSI for all 115 bands were acquired. The uncertainties of calibration coefficient from band 1 to band 60 stably lie in 5%~8%, and for all the other bands excerpt for the oxygen absorption which lies in at 760 nm and the water vapor absorption which lies in at 940 nm, the uncertainties of calibration coefficients are changed from 7% to 18%, which increased as the wavelength increased. Contrasted Compared with the traditional spectral matching method, the method proposed can improve the calibration accuracy by about 50%, which can meet the demand of the quantitive application for hyperspectral remote sensing data. It demonstrated the good precision and reliability of the method. It solved the spectral matching problem when the band configuration is big enough so that the cross calibration accuracy is too low and is difficult to apply in hyperspectral sensor cross-calibration, and provides a new method to frequently update the calibration coefficients for hyperspectral imager.
KW - Cross-calibration
KW - Hyperspectral Imager
KW - Hyperspectral remote sensing
KW - Spectral match
UR - https://www.scopus.com/pages/publications/84871058085
U2 - 10.3964/j.issn.1000-0593(2012)12-3416-06
DO - 10.3964/j.issn.1000-0593(2012)12-3416-06
M3 - 文章
AN - SCOPUS:84871058085
SN - 1000-0593
VL - 32
SP - 3416
EP - 3421
JO - Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis
JF - Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis
IS - 12
ER -