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A tomographic SAR image formation based on 3D target

Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788), 2004
A method is developed for the 3D image reconstruction of synthetic aperture radar based on a tomographic model. In this model, the demodulated radar return signal could be seen as a set of sampled 3D Fourier transform of the reflectivity density of the target, and a 2D image of projection corresponding to reflectivity in the 3D scene can be ...
null Bin Sun, null Kui Jia
openaire   +1 more source

Curvilinear SAR 3D imaging by orthogonal matching pursuit

2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2019
Curvilinear Synthetic Aperture Radar (CLSAR) has very high research value owing to realizing three-dimensional imaging through radar curvilinear flight in azimuth-altitude plane. In this paper, the principle of three-dimensional (3D) imaging based on curvilinear SAR is analyzed, and the signal model of curvilinear SAR imaging is established. Due to the
Weixing Yang, Daiyin Zhu
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Generalized SL0 algorithm for 3D circular SAR imaging

2018 22nd International Microwave and Radar Conference (MIKON), 2018
This paper aims to solve the problem of trajectory optimization for the radar-equipped aircraft. The Compressive Sensing (CS) technique is used to reduce temporal and spatial observation requirements with the preservation of Synthetic Aperture Radar (SAR) image quality. The SAR and CS techniques and the SL0 algorithm are briefly introduced.
Jedrzej Drozdowicz   +2 more
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Application of 3D-SAR nearfield imaging algorithms to GPR data

2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
This contribution addresses the utilization of near field 3D-SAR imaging algorithms applied to radar data from an ultra wideband (UWB) ground penetrating radar (GPR) system. The measured data were collected at the test field of the multi sensor mine signature (MsMs) group at the European Joint Research Centre (JRC) in Ispra/IT.
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Compressive sensing based 3D SAR imaging with multi-PRF baselines

2014 IEEE Geoscience and Remote Sensing Symposium, 2014
In this paper, we fundamentally re-examine 3D SAR imaging and propose a CS-based approach aiming to reduce the data collection cost and increase the elevation resolution. In particular, our approach significantly reduces the number of baselines required to acquire the scene of interest, as well as the pulsing rate in each baseline.
Dehong Liu, Petros T. Boufounos
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Imaging Geometry Analysis of 3D SAR using Linear Array Antennas

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008
Linear array antennas SAR has a resolving capability in the elevation direction, and can get the 3D image of the target. In this paper, we derive the signal model of 3D SAR using a linear array antenna, and get the 3D resolutions and 3D point spread function of array antenna SAR, at the same time the sampling space of array antennas is given.
Yanping Wang   +4 more
openaire   +2 more sources

Requirements for 3D Models to be Used in SAR Image Simulation

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Horst Hammer, Silvia Kuny, Antje Thiele
openaire   +1 more source

Wideband millimeter wave interferrometer for high-resolution 3D SAR imaging

2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015
Portable millimeter wave imaging systems are desired in many nondestructive testing and imaging applications. Interferometry-based instruments have shown to produce three-dimensional holographic images when proper phase referencing is implemented. This paper introduces the design of an interferometry-based wideband, and low-cost reflectometer capable ...
Mohammad Tayeb Ghasr   +2 more
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Generating 3d Point Clouds from a Single SAR Image Using 3D Reconstruction Network

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Obtaining the three-dimensional data of the target is very useful for the interpretation and application of the SAR target. This paper proposes a deep learning framework to recover the three-dimensional structure of the target from a single SAR image, which is expressed in the form of 3D point cloud. Due to the small data set of SAR images, the network
Lingxiao Peng   +3 more
openaire   +2 more sources

3D Imaging for 77 GHz MIMO-SAR

2021 CIE International Conference on Radar (Radar), 2021
Tongkai Xu   +5 more
openaire   +1 more source

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