Research for imaging of high resolution airborne SAR data based on parameter estimation

Shuyuan Chao; Baixiao Chen; Peng Zhou

doi:10.1117/12.743153

15 November 2007 Research for imaging of high resolution airborne SAR data based on parameter estimation

Shuyuan Chao, Baixiao Chen, Peng Zhou

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678659 (2007) https://doi.org/10.1117/12.743153
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

This paper proposes an algorithm combining classic CS algorithm with Dechirp technique for the process of imaging with big range cell migrations and partial aperture data. A great deal of interpolation will be needed if the azimuth pulse compression is accomplished by using a matched filter with only partial aperture data. So the CS algorithm is used to correct the range cell migration and complete the range pulse compression, while the Dechirp technique to accomplish the azimuth pulse compression. In addition, motion compensation is added because of the instability of the airborne SAR that leads to a debasement of the image. A curve of displacements in the LOS direction and phases of azimuth errors can be fitted by estimating the data, Thus it is easy to compensate them.

Citation Download Citation

Shuyuan Chao, Baixiao Chen, and Peng Zhou "Research for imaging of high resolution airborne SAR data based on parameter estimation", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678659 (15 November 2007); https://doi.org/10.1117/12.743153

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