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LIR-Mamba: consolidating YOLO and selective SSM with global-local scanning for robust infrared small target detection under laser interference. [PDF]
Sci RepChen T, Hu X, Wang J.
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ISNet: Shape Matters for Infrared Small Target Detection
Computer Vision and Pattern Recognition, 2022Infrared small target detection (IRSTD) refers to extracting small and dim targets from blurred backgrounds, which has a wide range of applications such as traffic management and marine rescue.
Ming-Jin Zhang +5 more
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IEEE Transactions on Geoscience and Remote Sensing, 2023
Infrared small target detection plays an important role in military and civilian fields while it is difficult to be solved by deep learning (DL) technologies due to scarcity of data and strong interclass imbalance. To relieve scarcity of data, we build a
Heng Sun +3 more
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Infrared small target detection plays an important role in military and civilian fields while it is difficult to be solved by deep learning (DL) technologies due to scarcity of data and strong interclass imbalance. To relieve scarcity of data, we build a
Heng Sun +3 more
semanticscholar +1 more source
, 2018 Target detection means to illuminate the target and then calculate its parameters, such a range, speed, azimuth, and altitude. The target range can be obtained using one of several methods: by calculating the time between the detected target echo and the transmitted wave, then calculating the difference in frequency between the received echo and the ...
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Interior Attention-Aware Network for Infrared Small Target Detection
IEEE Transactions on Geoscience and Remote Sensing, 2022Infrared small target detection plays an important role in target warning, ground monitoring, and flight guidance. Existing methods typically utilize local-contrast information of each pixel to detect infrared small targets, neglecting the interior ...
Kewei Wang +3 more
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Single-Frame Infrared Small-Target Detection: A survey
IEEE Geoscience and Remote Sensing Magazine, 2022Compared with radar and visible light imaging, infrared imaging has its own unique advantages, and in recent years, it has become a topic of intense research interest.
Ming-Jing Zhao +5 more
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ISTDU-Net: Infrared Small-Target Detection U-Net
IEEE Geoscience and Remote Sensing Letters, 2022The infrared small-target lacks effective information such as shape and texture, so it is difficult to detect small-target effectively. In order to solve this problem, a new deep learning network is proposed: Infrared Small-target Detection U-Net (ISTDU ...
Qing-Yu Hou +5 more
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STDFusionNet: An Infrared and Visible Image Fusion Network Based on Salient Target Detection
IEEE Transactions on Instrumentation and Measurement, 2021In this article, we propose an infrared and visible image fusion network based on the salient target detection, termed STDFusionNet, which can preserve the thermal targets in infrared images and the texture structures in visible images.
Jia-Yi Ma +4 more
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Dim2Clear Network for Infrared Small Target Detection
IEEE Transactions on Geoscience and Remote Sensing, 2023Infrared small target detection (IRSTD) is important for many practical applications such as hazardous aircraft warning, especially when the target is not visible in visible light image due to atmospheric conditions such as fog and cloud.
Ming-Jin Zhang +5 more
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