Results 1 to 10 of about 10,925,231 (165)
UAV Target Detection Algorithm Based on Improved YOLOv8
IEEE Access, 2023 Since UAVs usually fly at higher altitudes, resulting in a more significant proportion of small targets after imaging, this poses a challenge to the target detection algorithm at this stage; in addition, the high-speed flight of UAVs causes a sense of ...
Feng Wang +3 more
doaj +2 more sources
Dense Nested Attention Network for Infrared Small Target Detection [PDF]
IEEE Transactions on Image Processing, 2021 Single-frame infrared small target (SIRST) detection aims at separating small targets from clutter backgrounds. With the advances of deep learning, CNN-based methods have yielded promising results in generic object detection due to their powerful ...
Bo-Yang Li +7 more
semanticscholar +1 more source
Multi-Static Target Detection and Power Allocation for Integrated Sensing and Communication in Cell-Free Massive MIMO [PDF]
IEEE Transactions on Wireless Communications, 2023 This paper studies an integrated sensing and communication (ISAC) system within a centralized cell-free massive MIMO (multiple-input multiple-output) network for target detection.
Z. Behdad +4 more
semanticscholar +1 more source
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
doaj +1 more source
EFLNet: Enhancing Feature Learning Network for Infrared Small Target Detection [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2023 Single-frame infrared small target detection is considered to be a challenging task, due to the extreme imbalance between target and background, bounding box regression is extremely sensitive to infrared small target, and target information is easy to ...
Bo Yang +5 more
semanticscholar +1 more source
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
doaj +1 more source
RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2023 Deep learning (DL) networks have achieved remarkable performance in infrared small target detection (ISTD). However, these structures exhibit a deficiency in interpretability and are widely regarded as black boxes, as they disregard domain knowledge in ...
Feng-Yi Wu +4 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
Asymmetric Contextual Modulation for Infrared Small Target Detection [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2020 Single-frame infrared small target detection remains a challenge not only due to the scarcity of intrinsic target characteristics but also because of lacking a public dataset.
Yimian Dai +3 more
semanticscholar +1 more source