Sparse synthetic aperture radar sar

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Joint Multichannel Sparsity for TomoSAR Imaging Under Interrupted SAR Conditions

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Currently, ultrahigh-resolution synthetic aperture radar (SAR) can capture detailed structures of urban buildings. As a 3-D imaging technology, tomographic SAR (TomoSAR) applies the concept of synthetic aperture in the elevation direction, utilizing SAR ...
Cikang Su +4 more
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Compressive SAR Imaging Based on Modified Low-Rank and Sparse Decomposition

IEEE Access
In this paper, we propose a novel imaging method for synthetic aperture radar (SAR) systems with compressive sensing (CS) by modifying the existing low-rank and sparse decomposition (LRSD) scheme.
Jeong-Il Byeon, Wookyung Lee, Jihoon Choi +2 more
doaj +1 more source

Deep Learning-Based Approximated Observation Sparse SAR Imaging via Complex-Valued Convolutional Neural Network

Remote Sensing
Sparse synthetic aperture radar (SAR) imaging has demonstrated excellent potential in image quality improvement and data compression. However, conventional observation matrix-based methods suffer from high computational overhead, which is hard to use for
Zhongyuan Ji, Lingyu Li, Hui Bi
doaj +1 more source

Compressive Learning for the Classification and Reconstruction of Synthetic Aperture Radar Data. [PDF]