Results 11 to 20 of about 15,887 (242)

Verification of Complex Image Based Sparse SAR Imaging Method on GaoFen-3 Dataset

Leida xuebao, 2020
Sparse signal processing-based Synthetic Aperture Radar (SAR) imaging, also known as sparse SAR imaging, is the main research direction of sparse microwave imaging theory.
BI Hui, ZHANG Bingchen, HONG Wen, WU Yirong   +3 more
doaj   +1 more source

Near-Field 3D Sparse SAR Direct Imaging with Irregular Samples

Remote Sensing, 2022
Sparse imaging is widely used in synthetic aperture radar (SAR) imaging. Compared with the traditional matched filtering (MF) methods, sparse SAR imaging can directly image the scattered points of a target and effectively reduce the sidelobes and clutter
Shiqi Xing, Shaoqiu Song, Sinong Quan, Dou Sun, Junpeng Wang, Yongzhen Li   +5 more
doaj   +1 more source

FMCW SAR Sparse Imaging Based on Approximated Observation: An Overview on Current Technologies

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Sparsity-driven synthetic aperture radar (SAR) imaging technique for frequency modulation continuous wave (FMCW) has already shown the superiority in terms of performance improvement in imaging and recovery from down-sampled data.
Hui Bi, Daiyin Zhu, Guoan Bi, Bingchen Zhang, Wen Hong, Yirong Wu   +5 more
doaj   +1 more source

Design and Performance Analysis of Sparse TOPS SAR Mode

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Terrain observation by progressive scans (TOPS) is a novel and promising wide-swath synthetic aperture radar (SAR) imaging mode, which overcomes the scalloping effect existing in ScanSAR.
Hui Bi, Guoxu Li, Yufan Song, Jingjing Zhang, Daiyin Zhu, Wen Hong, Yirong Wu   +6 more
doaj   +1 more source

Data‐driven sampling pattern design for sparse spotlight SAR imaging

Electronics Letters, 2022
This paper proposes a joint optimization method for the imaging algorithm and sampling scheme of sparse spotlight synthetic aperture radar (SAR) imaging based on deep convolutional neural networks.
Yao Zhao, Wenkun Huang, Xiangyin Quan, Wing‐Kuen Ling, Zhe Zhang   +4 more
doaj   +1 more source

A sparsity-driven approach for joint SAR imaging and phase error correction [PDF]

, 2012
Image formation algorithms in a variety of applications have explicit or implicit dependence on a mathematical model of the observation process. Inaccuracies in the observation model may cause various degradations and artifacts in the reconstructed ...
Çetin, Müjdat, Önhon, Özben Naime
core   +5 more sources

Nonsparse SAR Scene Imaging Network Based on Sparse Representation and Approximate Observations

Remote Sensing, 2023
Sparse-representation-based synthetic aperture radar (SAR) imaging technology has shown superior potential in the reconstruction of nonsparse scenes.
Hongwei Zhang, Jiacheng Ni, Kaiming Li, Ying Luo, Qun Zhang   +4 more
doaj   +1 more source

SAR moving target imaging using group sparsity [PDF]

, 2013
SAR imaging of scenes containing moving targets results in defocusing in the reconstructed images if the SAR observation model used in imaging does not take the motion into account.
Çetin, Müjdat, Önhon, Özben Naime
core   +1 more source

Current Developments of Sparse Microwave Imaging

Leida xuebao, 2014
The sparse microwave imaging combines the sparse signal processing theory with radar imaging to obtain new theory, new system, and new methodology of microwave imaging.
Wu Yi-rong, Hong Wen, Zhang Bing-chen, Jiang Cheng-long, Zhang Zhe, Zhao Yao   +5 more
doaj   +1 more source

Sparse signal representation for complex-valued imaging [PDF]

, 2009
We propose a sparse signal representation-based method for complex-valued imaging. Many coherent imaging systems such as synthetic aperture radar (SAR) have an inherent random phase, complex-valued nature.
Cetin, Mujdat, Masnadi-Shirazi, Mohammad Ali, Samadi, Sadegh, Çetin, Müjdat   +3 more
core   +1 more source