Results 261 to 270 of about 292,962 (302)

Infrared small target detection based on Danger Theory

SPIE Proceedings, 2009
To solve the problem that traditional method can't detect the small objects whose local SNR is less than 2 in IR images, a Danger Theory-based model to detect infrared small target is presented in this paper. First, on the analog with immunology, the definition is given, in this paper, to such terms as dangerous signal, antigens, APC, antibodies ...
Jinhui Lan, Xiao Yang
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Real-time detecting system for infrared small target

SPIE Proceedings, 2007
The paper presents a design method for high-speed image processing system based on FPGA+DSP+ASIC structure. According to the feature of the devices, the system reconfigures the data path and distributes the algorithm flexibly among DSP, FPGA, and the ASIC.
Zhenjun Zhang, Zhiguo Cao, Tianxu Zhang, Luxin Yan   +3 more
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Dim small targets fusion detection in infrared image

2008 International Conference on Machine Learning and Cybernetics, 2008
To infrared images, the contrast of target and background is low, dim small targets have no concrete shapes and their textures cannot be reliable predicted. The paper puts forward a novel algorithm to fuse mid-wave and long-wave infrared images and detect targets. Firstly, the source images are decomposed by wavelet transformation. In usual, targets in
null Yu-Qiu Sun, null Yu Zheng, null Jin-Wen Tian, null Jian Liu   +3 more
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Clutter-adaptive infrared small target detection in infrared maritime scenarios

Optical Engineering, 2011
A clutter-adaptive target-detection method is proposed to detect small moving targets in midwave infrared maritime scenarios. In particular, we focus our attention on the sea-sky background and targets of interest are ships along the horizontal sea-sky line.
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Infrared small target detection technology based on OpenCV

SPIE Proceedings, 2013
Accurate and fast detection of infrared (IR) dim target has very important meaning for infrared precise guidance, early warning, video surveillance, etc. In this paper, some basic principles and the implementing flow charts of a series of algorithms for target detection are described.
Lei Liu, Zhijian Huang
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Computational Fluid Dynamic Network for Infrared Small Target Detection

IEEE Transactions on Neural Networks and Learning Systems
Infrared small target detection (IRSTD) aims to identify and locate small targets amidst background noise. It is highly valuable in various practical application domains, such as maritime rescue and early warning systems deployed in challenging conditions such as harsh weather, low illumination, and long imaging distances. Different from existing works
Mingjin Zhang, Ke Yue, Jie Guo, Qiming Zhang, Jing Zhang, Xinbo Gao   +5 more
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Dim2Clear Network for Infrared Small Target Detection

IEEE Transactions on Geoscience and Remote Sensing, 2023
Mingjin Zhang, Rui Zhang, Jing Zhang, Jie Guo, Yunsong Li, Xinbo Gao   +5 more
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DNU-Net for infrared small target detection

Third International Conference on Optics and Communication Technology (ICOCT 2023), 2023
Yishu Lin, Jin Zhou, Gang Zhang, Sijie Kong, Kehu Zhou   +4 more
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Infrared small-target detection algorithms: a survey

Journal of Image and Graphics, 2020
Li Junhong, Zhang Ping, Wang Xiaowei, Huang Shize   +3 more
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Target Neighborhood-Aware Enhanced Small Infrared Target Detection Algorithm*

2023 China Automation Congress (CAC), 2023
Xiaowen Xiong, Lei Zhu, Wenwu Wang
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