NDLI: Super-resolution SAR imaging via nonlinear regressive model parameter estimation method

Content Provider	IEEE Xplore Digital Library
Author	Wang Xiong-liang Wang Zheng-ming
Copyright Year	2005
Description	Author affiliation: Dept. of Math., Nat. Univ. of Defense Technol., Changsha, China (Wang Xiong-liang; Wang Zheng-ming)
Abstract	A novel SAR super-resolution imaging method is described Firstly, SAR image peak extraction is carried out in the image domain and the coarse feature parameter estimation is obtained. Secondly, Parameter estimation of nonlinear regressive model is carried out in the phase history domain and the fine feature parameter estimation is obtained. Finally, from the estimated parameter and based on the point-scattering model, the simulated phase history data of large dimensions is generated. By FFT imaging, higher resolution image is obtained. Experimental examples have shown that this method offer significant advantages over the FFT methods to better resolve the dominant target scatterers.
Starting Page	67
Ending Page	72
File Size	215472
Page Count	6
File Format	PDF
ISBN	0769523927
DOI	10.1109/CGIV.2005.72
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image resolution Parameter estimation Phase estimation Light scattering High-resolution imaging Radar scattering Frequency Radar polarimetry Scattering parameters History
Content Type	Text
Resource Type	Article

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Super-resolution SAR imaging via nonlinear regressive model parameter estimation method