Real-Time Hyperbola Recognition and Fitting in GPR Data

The problem of automatically recognizing and fitting hyperbolae from ground-penetrating radar (GPR) images is addressed, and a novel technique computationally suitable for real-time on-site application is proposed. After preprocessing of the input GPR images, a novel thresholding method is applied t...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing Jg. 55; H. 1; S. 51 - 62
Hauptverfasser:	Qingxu Dou, Lijun Wei, Magee, Derek R., Cohn, Anthony G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Buried asset detection Clustering Clustering algorithms column-connection clustering (C3) algorithm Data analysis Electromagnetic radiation Graphs Ground penetrating radar ground-penetrating radar (GPR) hyperbola recognition Hyperbolas Image edge detection Learning algorithms Machine learning Machine learning algorithms Object recognition orthogonal-distance fitting Partitioning algorithms Patchiness Propagation velocity Radar Radar imaging Real time Real-time systems Regions Signatures Transforms Wave propagation
ISSN:	0196-2892, 1558-0644
Online-Zugang:	Volltext
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