Results 1 to 10 of about 9,000 (133)

Spaceborne Sparse SAR Imaging Mode Design: From Theory to Implementation [PDF]

Sensors
To satisfy the requirement of the modern spaceborne synthetic aperture radar (SAR) system, SAR imaging mode design makes a trade-off between resolution and swath coverage by controlling radar antenna sweeping.
Yufan Song, Hui Bi, Fuxuan Cai, Guoxu Li, Jingjing Zhang, Wen Hong   +5 more
doaj   +2 more sources

SAR Ground Moving Target Imaging based on Sparse Representation [PDF]

فصلنامه علوم و فناوری فضایی, 2021
synthetic aperture radar (SAR) for ground moving target indication (GMTI) and imaging (GMTIm) have been gaining increasing interests for both civilian and military applications.
S. Andishe Moezzi, Mohamad Ali Masnadi-Shirazi   +1 more
doaj   +1 more source

Sparse Robust Filters for scene classification of Synthetic Aperture Radar (SAR) images [PDF]

Neurocomputing, 2016
With the increasing resolution of Synthetic Aperture Radar (SAR) images, extracting their discriminative features for scenes classification has become a challenging task, because SAR images are very sensitive to target aspect brought by shadowing effects, interaction of the signature with the environment, and so on.
Shuyuan Yang, Min Wang, Hezhao Long, Zhi Liu   +3 more
openaire   +1 more source

Forward-Looking MIMO-SAR for Enhanced Radar Imaging in Autonomous Mobile Robots

IEEE Access, 2023
Synthetic aperture radar (SAR) techniques are commonly used in spaceborne and airborne side-looking radar imaging applications, where the relatively high platform speeds enable the formation of very long synthetic apertures, which provide images with ...
Adnan Albaba, Marc Bauduin, Tim Verbelen, Hichem Sahli, Andre Bourdoux   +4 more
doaj   +1 more source

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

Learning an SAR Image Despeckling Model Via Weighted Sparse Representation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Synthetic aperture radar (SAR) images are inherently degraded by the speckle noise due to the coherent imaging, which may affect the performance of subsequent image analysis task.
Junchao Zhang, Jianlai Chen, Hanwen Yu, Degui Yang, Xiaoqing Xu, Mengdao Xing   +5 more
doaj   +1 more source

Complex-Valued Sparse SAR-Image-Based Target Detection and Classification

Remote Sensing, 2022
It is known that synthetic aperture radar (SAR) images obtained by typical matched filtering (MF)-based algorithms always suffer from serious noise, sidelobes and clutter. However, the improvement in image quality means that the complexity of SAR systems
Chen Song, Jiarui Deng, Zehao Liu, Bingnan Wang, Yirong Wu, Hui Bi   +5 more
doaj   +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

Region-enhanced passive radar imaging [PDF]

, 2005
The authors adapt and apply a recently-developed region-enhanced synthetic aperture radar (SAR) image reconstruction technique to the problem of passive radar imaging.
Cetin, Mujdat, Lanterman, A.D., Çetin, Müjdat   +2 more
core   +1 more source

Compressed sensing of monostatic and multistatic SAR [PDF]

, 2009
In this paper we study the impact of sparse aperture data collection of a SAR sensor on reconstruction quality of a scene of interest. Different mono and multi-static SAR measurement configurations produce different Fourier sampling patterns.
Cetin, Mujdat, Karl, W. Clem, Stojanovic, Ivana, Çetin, Müjdat   +3 more
core   +4 more sources