Research on optimization of imaging parameters of optical remote sensing camera based on ground objects BRDF

Fangqi Li; Hongyan He; Yunfei Bao; Kun Xing; Zhi Zhang

doi:10.1117/12.2029138

23 October 2013 Research on optimization of imaging parameters of optical remote sensing camera based on ground objects BRDF

Fangqi Li, Hongyan He, Yunfei Bao, Kun Xing, Zhi Zhang

Author Affiliations +

Proceedings Volume 8895, High-Performance Computing in Remote Sensing III; 88950A (2013) https://doi.org/10.1117/12.2029138
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

With the development of high resolution remote sensing satellite in recent years, the research of typical objects is connecting more and more closely with remote sensing applications. In the TDI CCD camera on-orbit imaging process, great changes will happen on solar angles at different time, causing a certain change of BRDF of most earth’s surface objects, and finally affect the remote sensing radiances, even imaging quality. In order to solve this problem, optimization of in-orbit parameters based on the ground objects BRDF is necessary. A detailed investigation about the global imaging area of ground objects characteristics is given in this paper. We inverse BRDF of different time based on Kernel-Driven BRDF model, establish database of ground objects BRDF, make a classification of ground objects characteristics, simulate imaging effect with radiative transfer model and degradation model of remote sensor, and then optimize imaging parameters according to the imaging quality requirement. The simulation results show that the contrast, definition and dynamic range of image have improved, the proposed method in this paper can set imaging parameters reasonably of different imaging conditions, improve the imaging quality of high resolution remote sensing satellites.

Citation Download Citation

Fangqi Li, Hongyan He, Yunfei Bao, Kun Xing, and Zhi Zhang "Research on optimization of imaging parameters of optical remote sensing camera based on ground objects BRDF", Proc. SPIE 8895, High-Performance Computing in Remote Sensing III, 88950A (23 October 2013); https://doi.org/10.1117/12.2029138

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