Sparsity analysis of SAR signal and three-dimensional imaging of sparse array SAR

Li, Daojing; Zhang, Qingjuan; Li, Liechen; Xiang, Ying

doi:10.1109/igarss.2013.6721303

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Yet the scattering cells in SAR image cannot describe the initial phases of target points accurately, leading to the random variation of initial phase and large bandwidth of image signal, which experiences difficulty down-sampling. A signal reconstruction [4] method is adopted to reduce the Thanks to National Science foundation of China (61271422) for funding. bandwidth of signal and achieve 3D imaging with large sampling interval.…”

Section: Introductionmentioning

confidence: 99%

Simulation of signal reconstruction based sparse flight downward-looking 3D imaging SAR

2015

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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Aimed at continuous scene imaging, this paper utilizes signal reconstruction method to eliminate random phases of scatter cells and reduce signal bandwidth, to achieve downwardlooking 3D imaging in the condition of sparse flight for array SAR. With the sampling method of repeat flight such as 7 dense flights and 4 sparse flights with sampling criteria of [1 1 1 0 0 1 0] (Barker code sequence), [0 1 1 0 1 0 1] and [1 0 1 0 1 0 1] (uniformly-spaced sequence), respectively, the 3D imaging simulation is implemented in this paper. In addition, we compare the imaging quality before and after signal reconstruction. Simulation results illustrate that the adoption of signal reconstruction can significantly improve image quality; the combination of Barker code sparse flight and signal reconstruction presents the best performance among all the implemented methods.

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Section: Introductionmentioning

confidence: 99%

Simulation of signal reconstruction based sparse flight downward-looking 3D imaging SAR

2015

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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Sparse Flight Array SAR Downward-Looking 3-D Imaging Based on Compressed Sensing

2016

IEEE Geosci. Remote Sensing Lett.

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Sparsity analysis of SAR signal and three-dimensional imaging of sparse array SAR

Cited by 2 publications

References 7 publications

Simulation of signal reconstruction based sparse flight downward-looking 3D imaging SAR

Simulation of signal reconstruction based sparse flight downward-looking 3D imaging SAR

Sparse Flight Array SAR Downward-Looking 3-D Imaging Based on Compressed Sensing

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