TY - GEN
T1 - A New Radiometric Correction Method for Multiple UAV Multispectral Images Under Varying Illumination Condition
AU - Qin, Zhenqiang
AU - Gu, Yanfeng
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Considering the spectral accuracy of UAV multispectral images is mainly influenced by the sensor factor and illumination factor, we separate radiometric correction into radiometric calibration and illumination and reflectance spectra separation (IRSS). Then focusing on the influence of varying illumination, we proposed the multiple-image IRSS (MI-IRSS) model for relative radiometric correction for multiple images. MI-IRSS can not only do a radiometric correction process for multiple images without irradiance measurement, but also can give a clear physical meaning which is illumination function to relative correction coefficients. Using reflectance images corrected by precise irradiance as validation data, the experimental results show that MI-IRSS can eliminate changes in radiometric level due to the varying illumination, with the mean root mean square error (MRMSE) of reflectance reaching 0.048, and the spectral angle mapping (SAM) between the estimated and measured illumination function reaching 0.154.
AB - Considering the spectral accuracy of UAV multispectral images is mainly influenced by the sensor factor and illumination factor, we separate radiometric correction into radiometric calibration and illumination and reflectance spectra separation (IRSS). Then focusing on the influence of varying illumination, we proposed the multiple-image IRSS (MI-IRSS) model for relative radiometric correction for multiple images. MI-IRSS can not only do a radiometric correction process for multiple images without irradiance measurement, but also can give a clear physical meaning which is illumination function to relative correction coefficients. Using reflectance images corrected by precise irradiance as validation data, the experimental results show that MI-IRSS can eliminate changes in radiometric level due to the varying illumination, with the mean root mean square error (MRMSE) of reflectance reaching 0.048, and the spectral angle mapping (SAM) between the estimated and measured illumination function reaching 0.154.
KW - Multispectral
KW - UAV
KW - radiometric correction
KW - varying illumination
UR - https://www.scopus.com/pages/publications/85140408098
U2 - 10.1109/IGARSS46834.2022.9884544
DO - 10.1109/IGARSS46834.2022.9884544
M3 - 会议稿件
AN - SCOPUS:85140408098
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 7579
EP - 7582
BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Y2 - 17 July 2022 through 22 July 2022
ER -