Results 1 to 10 of about 472,014 (190)
3D automatic target recognition for future LIDAR missiles [PDF]
IEEE Transactions on Aerospace and Electronic Systems, 2016 We present a real-time three-dimensional automatic target recognition approach appropriate for future light detection and ranging-based missiles. Our technique extends the speeded-up robust features method into the third dimension by solving multiple two-
Odysseas Kechagias-Stamatis +2 more
exaly +8 more sources
A Complete Automatic Target Recognition System of Low Altitude, Small RCS and Slow Speed (LSS) Targets Based on Multi-Dimensional Feature Fusion [PDF]
Sensors, 2019 Low altitude, small radar cross-section (RCS), and slow speed (LSS) targets, for example small unmanned aerial vehicles (UAVs), have become increasingly significant. In this paper, we propose a new automatic target recognition (ATR) system and a complete
Qi Wu, Jie Chen, Yue Lu, Yue Zhang
doaj +2 more sources
Automatic target recognition based on cross-plot. [PDF]
PLoS One, 2011 Automatic target recognition that relies on rapid feature extraction of real-time target from photo-realistic imaging will enable efficient identification of target patterns. To achieve this objective, Cross-plots of binary patterns are explored as potential signatures for the observed target by high-speed capture of the crucial spatial features using ...
Wong KK, Abbott D.
europepmc +6 more sources
Few Samples of SAR Automatic Target Recognition Based on Enhanced-Shape CNN
Journal of Mathematics, 2021 Synthetic Aperture Radar (SAR), as one of the important and significant methods for obtaining target characteristics in the field of remote sensing, has been applied to many fields including intelligence search, topographic surveying, mapping, and ...
Mengmeng Huang, Fang Liu, Xianfa Meng
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Infrared dim small target detection is one of the important contents in the research of military applications such as remote sensing intelligence reconnaissance, long-range precision strike, aerospace offense–defense confrontation, etc.
Wei Xue +5 more
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Open-Set Automatic Target Recognition
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 Automatic Target Recognition (ATR) is a category of computer vision algorithms which attempts to recognize targets on data obtained from different sensors. ATR algorithms are extensively used in real-world scenarios such as military and surveillance applications.
Bardia Safaei 0002 +4 more
openaire +2 more sources
A Lightweight, Arbitrary-oriented SAR Ship Detector via Feature Map-based Knowledge Distillation
Leida xuebao, 2023 In the Synthetic Aperture Radar (SAR) ship target detection task, the targets have a large aspect ratio and dense distribution, and they are arranged in arbitrary directions. The oriented bounding box-based detection methods can output accurate detection
Shiqi CHEN +4 more
doaj +1 more source
XCS for robust automatic target recognition [PDF]
Proceedings of the 7th annual conference on Genetic and evolutionary computation, 2005 A primary strength of the XCS approach is its ability to create maximally accurate general rules. In automatic target recognition (ATR) there is a need for robust performance beyond so-called standard operating conditions (SOCs, those conditions for which training data is available) to extended operating conditions (EOCs, conditions of known targets ...
B. Ravichandran +2 more
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A target localisation method with monostatic radar via multi‐observation data association
IET Radar, Sonar & Navigation, 2023 Traditionally, radar‐based localisation systems are designed to deal with targets in line‐of‐sight (LOS) scenarios. However, the performance of those radar systems is limited by multipath echoes reflected from non‐line‐of‐sight (NLOS) targets and walls ...
Rui Ding +4 more
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Pose Estimation of Uncooperative Unknown Space Objects from a Single Image
International Journal of Aerospace Engineering, 2020 Estimating the 3D pose of the space object from a single image is an important but challenging work. Most of the existing methods estimate the 3D pose of known space objects and assume that the detailed geometry of a specific object is known.
Xiaoyuan Ren, Libing Jiang, Zhuang Wang
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