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Cognitive Approaches to Detection of Small Targets
2020 17th European Radar Conference (EuRAD), 2021This paper shows the early results from an investigation into the potential gain in detection performance achievable by optimizing the parameterization of a CA-CFAR detector to local clutter behaviour. The effect of varying CFAR window length is studied in particular for range correlated time independent samples, and the CFAR Loss (measured by ...
E. Humphreys +3 more
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SVD-based scattered small targets detection
2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014Due to lack of sufficient shape and strength information about the targets present in the entire image obtained in a wide range of scenarios over a long distance, it is very hard to detect these targets using the existing detection methods. In order to solve this problem, this paper proposes a scattered small target detection algorithm based on ...
Jingli Gao, Chenglin Wen, Meiqin Liu
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Facet-based Detection for Small Infrared Targets
2006 8th international Conference on Signal Processing, 2006A fusion detection method for small weak infrared target based on bivariate cubic facet fitting (BCFF) is proposed. Experimental results on real infrared image sequences in background of sea and sky demonstrate that our present method has high probability of detection (P d) and low false alarms (Pf)
Zhicheng Wang +3 more
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Small target detection by space-borne radiometry
1983 Eighth International Conference on Infrared and Millimeter Waves, 1983The problem of radiometric detection from orbital platforms of small reflective targets against the sea surface is studied. Equations are developed to describe radiometric sensor signal-to-noise ratio in terms of orbital height, RF frequency, antenna diameter and other system parameters.
T. P. Morton, P. A. Maresca
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Pre-detection method for small infrared target
Optics and Precision Engineering, 2012A segmentation and detection method for small infrared targets is proposed to improve the accuracy of target detection.Aiming at the characters of an infrared image,an improved background perception algorithm is used to suppress backgrounds for increasing the target detection probability,and the bound set is constructed to limit the gray level ...
靳永亮 JIN Yong-liang +3 more
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Target detection by distributed sensors: distributed sensor concept-DISCO for small target detection
SPIE Proceedings, 2008Distributed Sensor Concept - DISCO was proposed for multiplication of individual sensor capabilities through non-coherent cooperative target engagement. The signal processing technique for DISCO is Recursive Adaptive Frame Integration of Limited data - RAFIL technique that was initially proposed as a way to improve the SNR, reduce data rate and ...
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SAR image enhancement for small target detection
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003The paper investigates the impact of SAR image enhancement on the performance of small target detection in SAR images. Three SAR image enhancement algorithms are evaluated on large SAR image data-sets. The evaluation results show that image enhancement can greatly improve the performance of false alarm mitigation, and that the level of performance ...
null Jingxin Zhang +2 more
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Small Target Detection Based on YOLOX
Proceedings of International Conference on Artificial Life and Robotics, 2023Keying Ren, Xiaoyan Chen, Zhihui Chen
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A Method of Small Moving Target Detection
Journal of Information and Computational Science, 2014This paper present a new method for detecting small moving targets from sequential images under the complex background of sky. The method can identify moving targets in low SNR, estimate and track the trajectory of the target using the maximum gray matrix and Kalman filter theory. Compared with other algorithms, this method has features of small amount
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Cancer epigenetics in clinical practice
Ca-A Cancer Journal for Clinicians, 2023Veronica Davalos, Manel Esteller
exaly

