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Radar detection and tracking of targets in the presence of clutter edge via DP-TBD
2015 IEEE Radar Conference (RadarCon), 2015In this paper, we focus on the performance improvement of dynamic programming based track-before-detect (DP-TBD) in heterogeneous Rayleigh background, in which case the surveillance scene is divided into two parts with separate independent and identically distributed Rayleigh probability density functions. Original DP-TBD (DP-TBD using signal amplitude
Guolong Cui, Wei Yi, Lingjiang Kong
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Surface target edge detection based on local energy model in sea clutter background
SPIE Proceedings, 2012 Most of edge detection algorithms are based on the gradient method. When texture is complex, especially in scale light background, the image may be cluttered. Thus, it is hard to find useful information in the edge map. In this article, a local energy model, which is relative to Human Vision System (HVS), is proposed to detect robust and useful ...
Wenbo Su, Zelin Shi, Lin Qi
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Clutter Edge and Target Detection Method Based on Central Moment Feature
2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE), 2023Guoqiang Zhao
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Adaptive Target Detection in Gaussian Clutter Edges
IEEE Transactions on Aerospace and Electronic Systems, 2020This paper addresses the adaptive target detection problem in Gaussian clutter edges. We employ a two-step generalized likelihood ratio test (GLRT) for the detection problem. Our main contribution lies in devising an iterative algorithm in the second step of the GLRT to obtain the maximum likelihood estimation of the unknown clutter-plus-noise ...
Bo Tang 0002 +4 more
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IEEE Transactions on Aerospace and Electronic Systems, 2023
Modern radars face challenging scenarios characterized by high levels of heterogeneity that make conventional detection/estimation algorithms no longer effective since most of them rely on the well-known homogeneous environment. In this article, we propose innovative classification schemes capable of identifying the radar operating scenario in terms of
Sudan Han +5 more
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Modern radars face challenging scenarios characterized by high levels of heterogeneity that make conventional detection/estimation algorithms no longer effective since most of them rely on the well-known homogeneous environment. In this article, we propose innovative classification schemes capable of identifying the radar operating scenario in terms of
Sudan Han +5 more
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Representation and segmentation of a cluttered scene using fused edge and surface data
Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003An intermediate representation based on combined edge and surface data is proposed to support the recognition of objects in cluttered scenes. The representation is based on the premise that local structure of surface and edge (wings) can be reliably sensed without higher-level models, while global edge, surface, and part structures cannot be. A sensing
Gongzhu Hu, George C. Stockman
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Performance analysis of GOSCA CFAR detector in clutter edge situation
Proceedings International Radar Conference, 2002This paper studies the performance of the GOSCA CFAR detector in clutter edge situation. We derive the analytic expressions of false alarm probabilities in clutter edge situation, analyse its performance against clutter edge, and compare it with the OS, CA, GO and SO detectors.
null Jian Guan, null You He
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Spatio-Temporal Degree of Hoarding Clutter Using SAM and Canny Edge Detection Against LMM
2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)Shun Hattori
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Modified distribution free CFAR processor for clutter edges and multi-target situations
ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005Performance of CFAR processors gets degraded at clutter edges and in multi target situations. Solutions suggested to tackle one problem degrades the performance in the other. In this paper, we show how both the problems can be handled reasonably well by using a modified version of distribution free CFAR processor[8].
V. Nagarajan +2 more
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Object Detection and Localization in Clutter Range Images Using Edge Features
2009We present an object detection technique that uses local edgels and their geometry to locate multiple objects in a range image in the presence of partial occlusion, background clutter, and depth changes. The fragmented local edgels (key-edgels) are efficiently extracted from a 3D edge map by separating them at their corner points.
Dipankar Das 0003 +2 more
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