Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W4, 235-240, 2015
https://doi.org/10.5194/isprsarchives-XL-7-W4-235-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
26 Jun 2015
An overview of in-orbit radiometric calibration of typical satellite sensors
G. Q. Zhou, C. Y. Li, T. Yue, L. J. Jiang, N. Liu, Y. Sun, and M. Y. Li Guangxi Key Laboratory for Spatial Information and Geomatics Engineering, Guilin University of Technology, Guilin, Guangxi, 541004, China
Keywords: Overview, in-orbit radiometric calibration, typical satellite sensors, visible/near-infrared bands, thermal infrared band, lamp calibration, solar radiation-based calibration, blackbody-based calibration Abstract. This paper reviews the development of in-orbit radiometric calibration methods in the past 40 years. It summarizes the development of in-orbit radiometric calibration technology of typical satellite sensors in the visible/near-infrared bands and the thermal infrared band. Focuses on the visible/near-infrared bands radiometric calibration method including: Lamp calibration and solar radiationbased calibration. Summarizes the calibration technology of Landsat series satellite sensors including MSS, TM, ETM+, OLI, TIRS; SPOT series satellite sensors including HRV, HRS. In addition to the above sensors, there are also summarizing ALI which was equipped on EO-1, IRMSS which was equipped on CBERS series satellite. Comparing the in-orbit radiometric calibration technology of different periods but the same type satellite sensors analyzes the similarities and differences of calibration technology. Meanwhile summarizes the in-orbit radiometric calibration technology in the same periods but different country satellite sensors advantages and disadvantages of calibration technology.
Conference paper (PDF, 1160 KB)


Citation: Zhou, G. Q., Li, C. Y., Yue, T., Jiang, L. J., Liu, N., Sun, Y., and Li, M. Y.: An overview of in-orbit radiometric calibration of typical satellite sensors, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W4, 235-240, https://doi.org/10.5194/isprsarchives-XL-7-W4-235-2015, 2015.

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