Multiple objects automatic detection of GPR data based on the AC-EWV and Genetic Algorithm

The automatic detection of multiple objects in Ground penetrating radar (GPR) data is investigated by searching for the reflected hyperbolas of buried objects, which can reduce the subjectivity of operators and improve the identification accuracy. Based on Frequency-wavenumber (F-K) migration, the a...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on geoscience and remote sensing Jg. 61; S. 1
Hauptverfasser:	Cui, Guangyan, Xu, Jie, Wang, Yanhui, Zhao, Shengsheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accurate Calculation of Electromagnetic Wave Velocity (AC-EWV) Algorithms Detection Electromagnetic radiation Electromagnetic scattering Entropy F-K migration Fitting Genetic algorithm Genetic algorithms GPR Ground penetrating radar Hyperbolas Machine learning algorithms Multiple objects automatic detection Object recognition Pipelines Radar Rebar Search problems Searching Voids Wave velocity Wavelengths
ISSN:	0196-2892, 1558-0644
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!