Results 31 to 40 of about 2,045,084 (313)

Calibration of a polarimetric imaging SAR [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 1992
Calibration using point targets is discussed. The fourport network calibration technique is used to describe the radar error model. The processor ambiguity function and the radar distortion matrices are combined to form a generalized polarimetric ambiguity function.
Kamal Sarabandi, Leland E. Pierce, Fawwaz T. Ulaby   +2 more
openaire   +2 more sources

SAR imaging based on binary-phase codes signal

Dianzi Jishu Yingyong, 2022
Binary-phase codes signal is a kind of spectrum spread signals, which works very well not only in terms of detection capability and low-intercept capability but also the range and velocity resolution.
Cai Yongjun, Niu Chengxiang
doaj   +1 more source

SAR Imaging of Fractal Surfaces [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2012
A complete theoretical model for synthetic aperture radar (SAR) imaging of natural surfaces is introduced in this paper. The topography of the natural scenes is described via models derived from fractal geometry; scattering evaluations are performed via fractal scattering models appropriate to the employed fractal scene description.
DI MARTINO, GERARDO, RICCIO, DANIELE, ZINNO, IVANA   +2 more
openaire   +2 more sources

An Efficient Multichannel SAR Channel Phase Error Calibration Method Based on Fine-Focused HRWS SAR Image Entropy

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Azimuth multichannel synthetic aperture radar (SAR) is a useful approach to solving minimum antenna area constraint and realizing high resolution and wide swath (HRWS) imaging by multichannel signal reconstruction.
Jixiang Xiang, Xiaojie Ding, Guang-Cai Sun, Zijing Zhang, Mengdao Xing, Wenkang Liu   +5 more
doaj   +1 more source

First case of neurofibromatosis with posterior reversible encephalopathy syndrome showing spinal cord involvement

Indian Journal of Radiology and Imaging, 2018
Posterior reversible encephalopathy syndrome (PRES) is a well-documented pathology of the brain in systemic upsets. Majority of PRES cases present with edema in the cerebrum, most commonly in the territory of posterior circulation.
Pui Kwan Joyce Chan, Kin Sun Tse, Wing Shan Elaine Fok, Wai Lun Poon   +3 more
doaj   +1 more source

Fast Compressive Sensing-Based SAR Imaging Integrated With Motion Compensation

IEEE Access, 2019
Recently, compressive sensing (CS) has been applied in synthetic aperture radar (SAR) imaging, which is increasingly in the focus of study and shows great potential.
Wei Pu, Yulin Huang, Junjie Wu, Haiguang Yang, Jianyu Yang   +4 more
doaj   +1 more source

Along-Track Swarm SAR: Echo Modeling and Sub-Aperture Collaboration Imaging Based on Sparse Constraints

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
This article proposes an along-track swarm synthetic aperture radar (ATS-SAR) system to accomplish the high frame rate and enhance imaging resolution simultaneously.
Nan Jiang, Dong Feng, Jian Wang, Jiahua Zhu, Xiaotao Huang   +4 more
doaj   +1 more source

MIMO-SAR and the Orthogonality Confusion [PDF]

, 2012
This paper reviews radar architectures that employ multiple transmit and multiple receive channels to improve the performance of synthetic aperture radar (SAR) systems.
A. Patyuchenko, Laskowski, Piotr, M. Villano, Bordoni, Federica, A. Moreira, Krieger, Gerhard, J. Kim, Kim, Junghyo, Lopez-Dekker, Paco, Patyuchenko, Anton, F. Bordoni, Huber, Sigurd, S. Huber, Moreira, Alberto, T. Romme, Younis, Marwan, G. Krieger, P. Lopez-Dekker, Villano, Michealangelo, M. Younis, Rommel, Tobias, P. Laskowski   +21 more
core   +1 more source

Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas [PDF]

, 2012
Synthetic aperture radar (SAR) tomography is a 3-D imaging modality that is commonly tackled by spectral estimation techniques. Thus, the backscattered power along the cross-range direction can be readily obtained by computing the Fourier spectrum of a ...
Nannini, Matteo, Aguilera, Esteban, Reigber, Andreas   +2 more
core   +1 more source

Review of Deep Learning for SAR 3D Imaging

Leida xuebao
With the increasing demands on imaging accuracy, efficiency, and robustness in modern three-Dimensional (3D) Synthetic Aperture Radar (SAR) imaging systems, the performance of traditional 3D imaging methods, such as matched filtering and compressed ...
Changhao LIU, Yan WANG, Siyu ZHAO, Anqi GAO   +3 more
doaj   +1 more source