New SAR Algorithm Based on Orthogonal Projections for MMT Detection and Interference Reduction

• Published in: IEEE transactions on geoscience and remote sensing Vol. 52; no. 7; pp. 3800 - 3811
• Main Authors: Brigui, Frederic, Thirion-Lefevre, Laetitia, Ginolhac, Guillaume, Forster, Philippe
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.07.2014; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied geophysics; Dielectrics; Earth sciences; Earth, ocean, space; Electromagnetism; Engineering Sciences; Exact sciences and technology; Foliage; Foliage penetration (FoPen) detection; Image detection; Interference; interference rejection; Internal geophysics; Noise; orthogonal projection; physical-based models; polarimetry; Reduction; Scattering; subspace methods; Subspaces; Synthetic aperture radar; synthetic aperture radar (SAR) algorithms; Trunks; Vectors; Vegetation; polarimetry; Foliage penetration (FoPen) detection; interference rejection; orthogonal projection; synthetic aperture radar (SAR) algorithms; physical-based models; subspace methods; algorithms; detection; penetration; remote sensing; interferences; physical models; imagery; projection; reduction; Synthetic aperture radar
• ISSN: 0196-2892; 1558-0644
• DOI: 10.1109/TGRS.2013.2276417

We develop a new synthetic aperture radar (SAR) algorithm based on physical models for the detection of a man-made target (MMT) embedded in strong interferences (trunks of a forest). These physical models for the MMT and the interferences are integrated in low-rank subspaces and are based on scattering and polarimetric properties. Several images, called subspace SAR images, can be generated and combined considering these subspace models. We then propose a new approach for target detection and interference reduction based on the combination of SAR subspace images. We show that our SAR algorithm outperforms the classical SAR imagery algorithm on both simulated data and real data in the context of foliage penetration detection.