Results 221 to 230 of about 11,957 (239)
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Sensitivity analysis of ATR algorithms to scene distortions: the key to performance evaluation of automatic target recognition systems

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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On Automatic Target Recognition (ATR) using Inverse Synthetic Aperture Radar Images

2023 International Conference on Inventive Computation Technologies (ICICT), 2023
T Sudarson Rama Perumal   +3 more
openaire   +1 more source

Few-shot SAR automatic target recognition based on Conv-BiLSTM prototypical network

Neurocomputing, 2021
Xueru Bai, Ruihang Xue, Feng Zhou
exaly  

Cost-Sensitive Awareness-Based SAR Automatic Target Recognition for Imbalanced Data

IEEE Transactions on Geoscience and Remote Sensing, 2022
Changjie Cao   +2 more
exaly  

Automatic Target Recognition (ATR) ATR: background statistics and the detection of targets in clutter

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, 2021
Odysseas Kechagias-Stamatis   +1 more
exaly  

Hybrid Inference Network for Few-Shot SAR Automatic Target Recognition

IEEE Transactions on Geoscience and Remote Sensing, 2021
Xueru Bai, Chen Gong, Feng Zhou
exaly  

Deep Learning-Based Automatic Target Recognition (ATR) from UAV Imagery: A CNN/Transformer Hybrid Framework for Defense Applications

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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