Share Email Print
cover

Proceedings Paper

Research on optimization of imaging parameters of optical remote sensing camera based on ground objects BRDF
Author(s): Fangqi Li; Hongyan He; Yunfei Bao; Kun Xing; Zhi Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 23 October 2013
PDF: 9 pages
Proc. SPIE 8895, High-Performance Computing in Remote Sensing III, 88950A (23 October 2013); doi: 10.1117/12.2029138
Show Author Affiliations
Fangqi Li, Beijing Institute of Space Mechanics and Electricity (China)
Hongyan He, Beijing Institute of Space Mechanics and Electricity (China)
Yunfei Bao, Beijing Institute of Space Mechanics and Electricity (China)
Kun Xing, Beijing Institute of Space Mechanics and Electricity (China)
Zhi Zhang, Beijing Institute of Space Mechanics and Electricity (China)


Published in SPIE Proceedings Vol. 8895:
High-Performance Computing in Remote Sensing III
Bormin Huang; Antonio J. Plaza; Zhensen Wu, Editor(s)

© SPIE. Terms of Use
Back to Top