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Similarity-Driven Edge Bundling: Data-Oriented Clutter Reduction in Graphs Layouts [PDF]

open access: yesAlgorithms, 2020
Graph visualization has been successfully applied in a wide range of problems and applications. Although different approaches are available to create visual representations, most of them suffer from clutter when faced with many nodes and/or edges.
Fabio Sikansi   +4 more
doaj   +4 more sources

Improving Ship Detection in Clutter-Edge and Multi-Target Scenarios for High-Frequency Radar [PDF]

open access: yesRemote Sensing, 2021
As one of the main sensors for continuous maritime measurements of sea state parameters, high-frequency surface wave radar (HFSWR) also plays an important role in ship detection and tracking.
Zhiqing Yang   +4 more
doaj   +5 more sources

False Alarm Analysis of the CATM-CFAR in Presence of Clutter Edge

open access: yesRadioengineering, 2014
This paper presents a false alarm analysis of the cell-averaging-trimmed-mean constant false alarm rate (CATM-CFAR) detector in the presence of clutter edge. Structure of the CATM-CFAR detector is described briefly.
D. Ivković, M. Andrić, B. Zrnić
doaj   +4 more sources

Transformer-Driven GAN for High-Fidelity Edge Clutter Generation with Spatiotemporal Joint Perception

open access: yesSymmetry
Accurate sea clutter modeling is crucial for clutter suppression in edge radar processing. On resource-constrained edge radar platforms, spatiotemporal statistics, together with device-level computation and memory limits, hinder the learning of representative clutter features. This study presents a transformer-based generative adversarial model for sea
Xu Liu, Mingliang Zhou, Cheng Ji
exaly   +3 more sources

Clutter Edges Detection Algorithms for Structured Clutter Covariance Matrices [PDF]

open access: yesIEEE Signal Processing Letters, 2022
This letter deals with the problem of clutter edge detection and localization in training data. To this end, the problem is formulated as a binary hypothesis test assuming that the ranks of the clutter covariance matrix are known, and adaptive architectures are designed based on the generalized likelihood ratio test to decide whether the training data ...
Danilo Orlando   +2 more
exaly   +4 more sources

Modified rank sum nonparametric CFAR to combat clutter edge

open access: yesEURASIP Journal on Advances in Signal Processing, 2023
The classical rank sum (RS) nonparametric constant false alarm rate (CFAR) detector plays an important role in the theoretical study and practical application of radar target detection.
Meng Xiangwei, Meng Yuan
doaj   +4 more sources

An Anti-FOD Method Based on CA-CM-CFAR for MMW Radar in Complex Clutter Background

open access: yesSensors, 2020
Traditional constant false alarm rate (CFAR) methods have shown their potential for foreign object debris (FOD) indication. However, the performance of these methods would deteriorate under the complex clutter background in airport scenes.
Xiaoqi Yang   +4 more
doaj   +3 more sources

Edge Bundling Method Based on Homologous Control Points [PDF]

open access: yesJisuanji kexue, 2022
Edge bundling is an effective method to reduce the visual clutter caused by the visualization of the node-link diagram with a large number of complex connections.Generally,the edge bundling based on spatial proximity will lead to independent edge ...
LIU Meng-xin, ZHANG Fan, LI Tian-rui
doaj   +1 more source

Hyperspectral Video Target Tracking Based on Deep Edge Convolution Feature and Improved Context Filter

open access: yesRemote Sensing, 2022
To address the problem that the performance of hyperspectral target tracking will be degraded when facing background clutter, this paper proposes a novel hyperspectral target tracking algorithm based on the deep edge convolution feature (DECF) and an ...
Dong Zhao   +9 more
doaj   +1 more source

Identifying Cluttering Edges in Near-Planar Graphs

open access: yesCoRR, 2023
Short paper for proceedings of EuroVis 2023 ...
Simon van Wageningen   +2 more
openaire   +3 more sources

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