This paper presents a novel algorithm fordetecting infrareddim small targets in complex backgrounds by integrating both global and local feature information. The proposed method employs an adaptive attention transfo...
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The advent of x-ray free electron lasers (XFELs) has opened the door to exploring the x-ray-nuclei interaction in the multiexcitation regime. Here, we show the dependence of emission properties of x-ray photons from a...
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The advent of x-ray free electron lasers (XFELs) has opened the door to exploring the x-ray-nuclei interaction in the multiexcitation regime. Here, we show the dependence of emission properties of x-ray photons from an ensemble of identical resonant nuclei on the number of excitations in the system, employing the theoretical methods we have introduced. Under the multiexcitation condition, the detection of x-ray quanta is emission-order selective. Our work presents an efficient approach to investigating the multiphoton emission of x-rays from cooperative resonant nuclei within and beyond weak-excitation regimes, offering valuable insights into nonlinear x-ray optics and many-body nuclear physics.
A rotary dual-channel roll and pitch tracking scheme is proposed, and a dual-channel rotation control algorithm is designed to solve the problem of detector front and phase plane rotation, expand the field of view, an...
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To overcome the obstacles of poor feature extraction and little prior information on the appearance of infrareddim small targets, we propose a multi-domain attention-guided pyramid network (MAGPNet). Specifically, we...
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infrareddetectiontechnology has the advantages of all-weatherdetection and good concealment,which is widely used in long-distance target detection and tracking ***,the complex background,the strong noise,and the ch...
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infrareddetectiontechnology has the advantages of all-weatherdetection and good concealment,which is widely used in long-distance target detection and tracking ***,the complex background,the strong noise,and the characteristics of small scale and weak intensity of targets bring great difficulties to the detection of infrared small targets.A multi-channel based on attention network is proposed in this paper,aimed at the problem of high misseddetectionrate and false alarm rate of traditional algorithms and the problem of large model,high complexity and poordetection performance of deep learning ***,given the difficulty in extracting the features of infrared multiscale and small dim targets,the multiple channels are designed based on dilated convolution to capture multiscale target ***,the coordinate attention block is incorporated in each channel to suppress background clutters adaptively and enhance target *** addition,the fusion of shallow detail features anddeep abstract semantic features is realized by synthesizing the contextual attention fusion ***,it is verified that,compared with other state-of-the-art methods based on the datasets SIrST and MdFA,the proposed algorithm further improves the detection effect,and the model size and computational complexity are smaller.
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