Results 221 to 230 of about 11,957 (239)
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Proceedings of SOUTHEASTCON '94, 2002
This paper presents a methodology to characterize the automatic target recognition (ATR) algorithm performance when it is subjected to geometrical scene distortions. The methodology presented is a parametric variation technique whereby perturbations in sensor parameters are made and the target probability of detection and location determined.
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This paper presents a methodology to characterize the automatic target recognition (ATR) algorithm performance when it is subjected to geometrical scene distortions. The methodology presented is a parametric variation technique whereby perturbations in sensor parameters are made and the target probability of detection and location determined.
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On Automatic Target Recognition (ATR) using Inverse Synthetic Aperture Radar Images
2023 International Conference on Inventive Computation Technologies (ICICT), 2023T Sudarson Rama Perumal +3 more
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Few-shot SAR automatic target recognition based on Conv-BiLSTM prototypical network
Neurocomputing, 2021Xueru Bai, Ruihang Xue, Feng Zhou
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Cost-Sensitive Awareness-Based SAR Automatic Target Recognition for Imbalanced Data
IEEE Transactions on Geoscience and Remote Sensing, 2022Changjie Cao +2 more
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This research investigated signal processing oftwo dimensional signals for the detection of targets in noise, particularly in complex background pattern noise. The researchers hypothesized that this type of noise was vulnerable to non-linear processing. They investigated whether the human eye/brain acting as a surrogate for a non-linear processor could
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Automatic Target Recognition on Synthetic Aperture Radar Imagery: A Survey
IEEE Aerospace and Electronic Systems Magazine, 2021Odysseas Kechagias-Stamatis +1 more
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Hybrid Inference Network for Few-Shot SAR Automatic Target Recognition
IEEE Transactions on Geoscience and Remote Sensing, 2021Xueru Bai, Chen Gong, Feng Zhou
exaly
Extended convolutional capsule network with application on SAR automatic target recognition
Signal Processing, 2021Haohao Ren, Xuelian Yu, Lin Zou
exaly
Automatic Target Recognition (ATR) from Unmanned Aerial Vehicle (UAV) imagery is a critical challenge in modern defense intelligence, surveillance, and reconnaissance (ISR) operations. Existing approaches struggle with small target detection at altitude, real-time inference on constrained hardware, multi-modal data fusion, and robustness to adversarial
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Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR)
2013openaire +1 more source

