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- W2367706768 abstract "A novel SAR super-resolution imaging method is proposed.Based on the point-scattering model in the phase history domain,a compacted dictionary in sub-pixel is constructed in this paper by making use of the sparsity of target in SAR image.And a modified iterative algorithm based on Match Pursuit is designed to estimate the parameters of the point-scattering model.Then,larger scale phase history data is built.By IFFT imaging,the higher resolution image is obtained.Experiment results demonstrate that this algorithm can provide super-resolution,and the time it costs is shortened more than 40%." @default.
- W2367706768 created "2016-06-24" @default.
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- W2367706768 date "2007-01-01" @default.
- W2367706768 modified "2023-09-26" @default.
- W2367706768 title "SAR Super-Resolution Imaging Based on Match Pursuit Algorithm" @default.
- W2367706768 hasPublicationYear "2007" @default.
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