Presentation + Paper
10 October 2020 Radiometric model of lunar based on GF-4 visible and near-infrared sensor
Author Affiliations +
Abstract
Lunar has stable spectral properties with a varying tendency of 10-8 per year. Due to the independent on the scattering and absorbing effects of atmosphere, lunar is a perfect radiometric reference for earth-observing satellite. Researching on the radiometric model of lunar gives a new path to on-orbit radiometric calibration for remote sensing satellite to get rid of the uncertainties of atmosphere on calibration accuracy. GF-4 of China was a geostationary remote sensing satellite with a big array CMOS detector, it can acquire the whole lunar disk image without earth-atmosphere stray light by rolling the satellite, and the instantaneous field of view (IFOV) of VNIR sensor to lunar is about 500m. Firstly, recalibration is implemented before further processing. Secondly, the radiometric properties of lunar are retrieved by the recalibration results. A common used method in researching the radiometry of lunar was adopted in this work: deriving the bidirectional reflectance factor (BRF) on three typical lunar calibration sites of Apollo-16, MS-2 and CE-3 with t GF-4 lunar image, and comparing the BRFs with SP on SELENE, M3 on Chandrayaan-1 and IIM on CE-1. The model of GF-4 VNIR sensor showed a relatively high consistency with other existed models as wavelength increasing. The results indicated that the radiometric model of lunar in this work had the potentiality to join the group of lunar models.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei Tan, Wenwen Qi, Yunzhao Wu, Hongyan He, and Xuan Chen "Radiometric model of lunar based on GF-4 visible and near-infrared sensor", Proc. SPIE 11550, Optoelectronic Imaging and Multimedia Technology VII, 1155009 (10 October 2020); https://doi.org/10.1117/12.2573490
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KEYWORDS
Sensors

Calibration

Satellites

Visible radiation

Signal to noise ratio

Atmospheric modeling

CMOS sensors

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