Results 61 to 70 of about 6,407 (152)
Deep learning in remote sensing: a review [PDF]
, 2017 Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich +6 more
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High-Fidelity SAR Imaging Under Composite Jamming via Collaborative Sparse Signal Optimization
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn practical combat scenarios, the high-resolution imaging process of synthetic aperture radar (SAR) is susceptible to diverse forms of electromagnetic jamming, which severely degrades the final imaging quality. To achieve high-fidelity SAR imaging under
Xinrui Li, Baixiao Chen, Jingtian Xu
doaj +1 more source
System Concepts for Bi- and Multi-Static SAR Missions [PDF]
, 2003 The performance and capabilities of bi- and multistatic spaceborne synthetic aperture radar (SAR) are analyzed. Such systems can be optimized for a broad range of applications like frequent monitoring, wide swath imaging, single-pass cross-track ...
Fiedler, Hauke +4 more
core
PhotonicsIn order to reduce the hardware cost and data acquisition time in near-field scenarios, such as airport security imaging systems, this paper discusses the layout of a multiple-input multiple-output (MIMO) radar array.
He Zhang, Hua Zong, Jinghui Qiu
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3-D MIMO Radar Imaging of Ship Target with Rotational Motions [PDF]
Radioengineering, 2019 The problem of image defocusing and distortion occurs in synthetic aperture radar (SAR) imaging of ship target with rotations. Although many literatures have analyzed this problem, it cannot efficiently be solved due to the coherent accumulation time for
W. Wang, Z. Hu, P. Huang
doaj
Compressive SAR Imaging with Joint Sparsity and Local Similarity Exploitation
Sensors, 2015 Compressive sensing-based synthetic aperture radar (SAR) imaging has shown its superior capability in high-resolution image formation. However, most of those works focus on the scenes that can be sparsely represented in fixed spaces.
Fangfang Shen +5 more
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Two Dimensional Forward-Looking Missile-Borne Radar Imaging Based on Vortex Electromagnetic Waves
IEEE Access, 2020 In this article, a novel two-dimensional (2D) imaging scheme for forward-looking missile-borne radar systems is proposed, where the vortex electromagnetic (EM) waves with different orbital angular momentum (OAM) modes are transmitted.
Taoli Yang, Wei Huang, Xingyu Lu
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Advanced Concepts for Ultra-Wide-Swath SAR Imaging [PDF]
, 2008 This paper reviews advanced multi-channel SAR system concepts for the imaging of ultra-wide swaths with high azimuth resolution. Novel system architectures and operational modes are introduced and compared to each other with regard to their ...
Bordoni, Federica +5 more
core
Target Oriented High Resolution SAR Image Formation via Semantic Information Guided Regularizations
, 2017 Sparsity-regularized synthetic aperture radar (SAR) imaging framework has shown its remarkable performance to generate a feature enhanced high resolution image, in which a sparsity-inducing regularizer is involved by exploiting the sparsity priors of ...
Hou, Biao +3 more
core +1 more source
Sensors, 2019 Sparse signal processing theory has been applied to synthetic aperture radar (SAR) imaging. In compressive sensing (CS), the sparsity is usually considered as a known parameter. However, it is unknown practically.
Mingqian Liu +3 more
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