Compressive sensing for interferometric inverse synthetic aperture radar applications

作者：Bacci Alessio^*; Stagliano Daniele; Giusti Elisa; Tomei Sonia; Berizzi Fabrizio; Martorella Marco

来源：IET Radar Sonar and Navigation, 2016, 10(8): 1446-1457.

DOI：10.1049/iet-rsn.2015.0563

The applicability of interferometric inverse synthetic aperture radar (InISAR) techniques to images reconstructed via compressive sensing (CS)-based algorithms is investigated. Specifically, the three-dimensional (3D) reconstruction algorithm is applied after exploiting CS for data compression and image reconstruction. The InISAR signal model is derived and formalised in a CS framework. A comparison between conventional CS reconstruction and global sparsity constrained reconstruction techniques is performed for different compression rates and different signal-to-noise ratio conditions. Performances on the 2D and 3D reconstructions are evaluated. Results obtained on real data acquired during the NATO-SET 196 trial are shown.

• 出版日期2016-10