Title :
3D interferometric ISAR via compressive sensing
Author :
Bacci, A. ; Stagliano, D. ; Giusti, E. ; Tomei, S. ; Berizzi, F. ; Martorella, Marco
Author_Institution :
Dept. of Inf. Eng., Univ. of Pisa, Pisa, Italy
Abstract :
The problem of interferometric 3D ISAR imaging exploiting data compressed and reconstructed via Compressive Sensing technique is discussed in this paper. The ISAR signal model is provided as well as its CS formulation. Then, the interferometric 3D imaging technique is recalled and applied to CS reconstructed data proving the effectiveness of the proposed method and the capability of CS ISAR algorithm to preserve both the amplitude and the phase information.
Keywords :
compressed sensing; image reconstruction; radar imaging; radar interferometry; synthetic aperture radar; CS formulation; ISAR signal model; amplitude information; compressive sensing technique; interferometric 3D imaging technique; phase information; Compressed sensing; Estimation; Image reconstruction; Imaging; Radar imaging; Three-dimensional displays;
Conference_Titel :
European Radar Conference (EuRAD), 2014 11th
Conference_Location :
Rome
DOI :
10.1109/EuRAD.2014.6991250
