Results 221 to 230 of about 11,848 (250)
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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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Complete Solutions to an Automatic Target Recognition (ATR) Differential Game With Singular Surfaces
IEEE Transactions on Aerospace and Electronic Systems, 2023Brian A. Swanson +2 more
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LIDA-ATR for object detection in Automatic Target Recognition system
2014 International Conference on Electronics, Information and Communications (ICEIC), 2014Muhammad Rizal Khaefi, Dong-Seong Kim
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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
Fuzzy whale optimisation algorithm: a new hybrid approach for automatic sonar target recognition
Journal of Experimental and Theoretical Artificial Intelligence, 2023Abbas Saffari +2 more
exaly
Self-Trained Target Detection of Radar and Sonar Images Using Automatic Deep Learning
IEEE Transactions on Geoscience and Remote Sensing, 2022Peng Zhang, Jinsong Tang, Heping Zhong
exaly
SAR Automatic Target Recognition Method Based on Multi-Stream Complex-Valued Networks
IEEE Transactions on Geoscience and Remote Sensing, 2022Zhiqiang Zeng, Jinping Sun, Zhu Han
exaly
Radar Target Characterization and Deep Learning in Radar Automatic Target Recognition: A Review
Remote Sensing, 2023Wen Jiang, Yun Lin, Wenjie Shen
exaly
Few-shot SAR automatic target recognition based on Conv-BiLSTM prototypical network
Neurocomputing, 2021Xueru Bai, Ruihang Xue, Feng Zhou
exaly