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Achieving High-Quality Three-Dimensional InISAR Imageries of Maneuvering Target via Super-Resolution ISAR Imaging by Exploiting Sparseness.
- Source :
- IEEE Geoscience & Remote Sensing Letters; Apr2014, Vol. 11 Issue 4, p828-832, 5p
- Publication Year :
- 2014
-
Abstract
- Interferometric inverse synthetic aperture radar (InISAR) can achieve 3-D imageries of maneuvering target. However, the quality of 3-D imageries suffers from the noise and sidelobes seriously. In addition, the defocusing effect due to the nonlinear moving of the target can also bring into a bad effect for 3-D imaging. To tackle these issues, a 3-D InISAR imaging approach via compressed sensing (CS)-based super-resolution (SR) ISAR imageries is proposed. First, we establish the target sparsity-constraint optimization model containing both amplitude and phase information of scatterers. Second, a Bayesian CS approach is adopted to get high-quality SR ISAR image. The quasi-Newton solver guarantees both high amplitude and phase information recovery precision. At last, a high-quality 3-D view of the target is achieved via the conventional ISAR imagery pair interferometry technique. Computer simulation and real data experimental results verify the effectiveness of the proposed method. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 1545598X
- Volume :
- 11
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- IEEE Geoscience & Remote Sensing Letters
- Publication Type :
- Academic Journal
- Accession number :
- 92726787
- Full Text :
- https://doi.org/10.1109/LGRS.2013.2279402