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IR-WSANet: A lightweight network with frequency-spatial joint optimization for infrared small target detection [PDF]
Scientific ReportsInfrared Small Target Detection (IRSTD) holds significant application value in military operations, early warning and surveillance, aerospace, and other fields.
Zhan Jin, Haonan Chen, Jiaxiang Chen
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Remote Sensing, 2021 Traditional radar target detection algorithms are mostly based on statistical theory. They have weak generalization capabilities for complex sea clutter environments and diverse target characteristics, and their detection performance would be ...
Xiaolong Chen +5 more
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A Two-Stage Track-before-Detect Method for Non-Cooperative Bistatic Radar Based on Deep Learning
Remote Sensing, 2023 Compared with traditional active detection radar, non-cooperative bistatic radar has a series of advantages, such as a low cost and low detectability. However, in real-life scenarios, it is limited by the non-cooperation of the radiation source and the ...
Wei Xiong +3 more
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Remote Sensing, 2023 The Multiple Input Multiple Output (MIMO) radar, as a new type of radar, emits orthogonal waveforms, which provide it with waveform diversity characteristics, leading to increased degrees of freedom and improved target detection performance.
Jian Guan +5 more
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Experimental Study of Maritime Moving Target Detection Using Hitchhiking Bistatic Radar
Remote Sensing, 2022 Hitchhiking bistatic radar system takes the direct wave signal that is transmitted by the non-cooperative radar emitter as the reference to detect and analyze the target echo signal, so as to realize the positioning and tracking of the target. This radar
Jie Song +3 more
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Time-Range Adaptive Focusing Method Based on APC and Iterative Adaptive Radon-Fourier Transform
Remote Sensing, 2022 In conventional radar signal processing, the cascade of pulse compression (i.e., matched filter) and Radon-Fourier transform (RFT) can extract the estimated scattering coefficient of the target in the range-velocity dimension through long-time coherent ...
Jian Guan +4 more
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Remote Sensing, 2022 Aiming at the difficult problem of the classification between flying bird and rotary-wing drone by radar, a micro-motion feature classification method is proposed in this paper.
Xiaolong Chen +5 more
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YOLOX++ for Transmission Line Abnormal Target Detection
IEEE Access, 2023 The detection of abnormal targets in transmission lines plays a significant role in maintaining the stability and safety of transmission systems. To achieve improved detection performance for abnormal targets, we propose a new target detector based on ...
Zhongqin Bi +3 more
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Contextualized Small Target Detection Network for Small Target Goat Face Detection
Animals, 2023 With the advancement of deep learning technology, the importance of utilizing deep learning for livestock management is becoming increasingly evident. goat face detection provides a foundation for goat recognition and management.
Yaxin Wang +4 more
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Motion classification for radar moving target via STFT and convolution neural network
The Journal of Engineering, 2019 Radar moving target detection (MTD) technology is a key technology in the field of radar signal processing. The MTD method of radar has a better performance when applied to uniform motion detection although it has limited performance in other aspects ...
Xiaoqian Mou +3 more
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