An ISAR imaging algorithm for the space satellite based on empirical mode decomposition theory

Tao Zhao; Chun-zhu Dong

doi:10.1117/12.2073204

24 November 2014 An ISAR imaging algorithm for the space satellite based on empirical mode decomposition theory

Tao Zhao, Chun-zhu Dong

Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93013H (2014) https://doi.org/10.1117/12.2073204
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

Currently, high resolution imaging of the space satellite is a popular topic in the field of radar technology. In contrast with regular targets, the satellite target often moves along with its trajectory and simultaneously its solar panel substrate changes the direction toward the sun to obtain energy. Aiming at the imaging problem, a signal separating and imaging approach based on the empirical mode decomposition (EMD) theory is proposed, and the approach can realize separating the signal of two parts in the satellite target, the main body and the solar panel substrate and imaging for the target. The simulation experimentation can demonstrate the validity of the proposed method.

Citation Download Citation

Tao Zhao and Chun-zhu Dong "An ISAR imaging algorithm for the space satellite based on empirical mode decomposition theory", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93013H (24 November 2014); https://doi.org/10.1117/12.2073204

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