Abstract
We present a novel microwave imaging technique for sparse domain imaging applications. In the proposed method, inverse scattering algorithm modified gradient method (MGM) is combined with a fast iterative shrinkage-thresholding algorithm to improve the resolution and robustness of the MGM by enforcing the sparsity in the imaging domain. The numerical experiments show that the proposed method achieves higher resolution and robustness compared with that of classical MGM. For nonsparse domain reconstruction, the wavelet transformation is adopted to convert nonsparse spatial domain into a sparse wavelet coefficient domain. The feasibility of the proposed method in the wavelet domain is demonstrated through the numerical experiments.
Original language | English |
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Article number | 8067638 |
Pages (from-to) | 2220-2224 |
Number of pages | 5 |
Journal | IEEE Geoscience and Remote Sensing Letters |
Volume | 14 |
Issue number | 12 |
DOIs | |
Publication status | Published - Dec 2017 |
Bibliographical note
Publisher Copyright:© 2004-2012 IEEE.
Keywords
- Compressive sensing
- inverse scattering
- microwave imaging
- sparsity regularization
- wavelet transform