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A<sup>2</sup>G-SRNet: An Adaptive Attention-Guided Transformer and Super-Resolution Network for Enhanced Aircraft Detection in Satellite Imagery. [PDF]
Chen N +5 more
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Millimeter-Wave Radar Clutter Suppression Based on Cycle-Consistency Generative Adversarial Network
Ziyi Li +4 more
openalex +1 more source
Real-Time Hand Gesture Recognition in Clinical Settings: A Low-Power FMCW Radar Integrated Sensor System with Multiple Feature Fusion. [PDF]
Wang H, Zhang M, Zhang L, Zhu X, Cao Q.
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CATR: CNN augmented transformer for object detection in remote sensing imagery. [PDF]
Hadi SJ, Ahmed I, Iqbal A, Alzahrani AS.
europepmc +1 more source
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IEEE Transactions on Geoscience and Remote Sensing, 2023
Moving target indication (MTI) in bistatic synthetic aperture radar (BiSAR) is a promising task in both civilian and military fields. However, it suffers severe challenges under the influence of clutter. MTI in BiSAR mainly faces three challenges: 1) the
Junao Li +7 more
semanticscholar +1 more source
Moving target indication (MTI) in bistatic synthetic aperture radar (BiSAR) is a promising task in both civilian and military fields. However, it suffers severe challenges under the influence of clutter. MTI in BiSAR mainly faces three challenges: 1) the
Junao Li +7 more
semanticscholar +1 more source
IEEE Transactions on Aerospace and Electronic Systems, 2023
In this article, a novel range ambiguous cluter suppression method, i.e., alternating azitmuth phase coding (AAPC), based on azimuth phase coding (APC) is proposed, where the blind areas of target detection are solved.
Penghui Huang +5 more
semanticscholar +1 more source
In this article, a novel range ambiguous cluter suppression method, i.e., alternating azitmuth phase coding (AAPC), based on azimuth phase coding (APC) is proposed, where the blind areas of target detection are solved.
Penghui Huang +5 more
semanticscholar +1 more source
IEEE Transactions on Aerospace and Electronic Systems, 2023
Sparse recovery space-time adaptive processing (SR-STAP) can achieve an ideal clutter suppression with very few training samples, however, its application faces two challenges: 1) severe gird mismatch effect and 2) large time-resources requirement.
N. Cui, Kun Xing, Zhongjun Yu, K. Duan
semanticscholar +1 more source
Sparse recovery space-time adaptive processing (SR-STAP) can achieve an ideal clutter suppression with very few training samples, however, its application faces two challenges: 1) severe gird mismatch effect and 2) large time-resources requirement.
N. Cui, Kun Xing, Zhongjun Yu, K. Duan
semanticscholar +1 more source

