Treffer: Subsurface Material type determination from Ground penetrating Radar signatures

Title:
Subsurface Material type determination from Ground penetrating Radar signatures
Authors:
PARSIANI, Hamed, RODRIGUEZ, Pedro A
Source:
Image and signal processing for remote sensing X (Maspalomas, 13-15 September 2004)SPIE proceedings series. :301-306
Publisher Information:
Bellingham WA: SPIE, 2004.
Publication Year:
2004
Physical Description:
print, 3 ref
Original Material:
INIST-CNRS
Subject Terms:
Electronics, Electronique, Optics, Optique, Physics, Physique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Telecommunications et theorie de l'information, Telecommunications and information theory, Télécommunications, Telecommunications, Radiocommunications, Propagation des ondes radioélectriques, Radiowave propagation, Diffraction, diffusion, réflexion, Diffraction, scattering, reflection, Equipements et installations, Equipments and installations, Radiocommunications du service mobile, Mobile radiocommunication systems, Radiorepérage et radionavigation, Radiolocalization and radionavigation, Algorithme rétropropagation, Backpropagation algorithm, Algoritmo retropropagación, Constante diélectrique, Permittivity, Constante dieléctrica, Détection cible, Target detection, Detección blanco, Détection objet enterré, Buried object detection, Méthode domaine fréquence, Frequency domain method, Método dominio frecuencia, Méthode image, Image method, Método imagen, Onde électromagnétique, Electromagnetic wave, Onda electromagnética, Radar pénétration sol, Ground penetrating radar, Radar penetracion suelo, Radiocommunication service mobile, Mobile radiocommunication, Radiocomunicación servicio móvil, Réflexion onde, Wave reflection, Reflexión onda, Sable, Sand, Arena, Service GPRS, General packet radio service, Servicio GPRS, Subsurface, Subsuelo, Télécommunication sans fil, Wireless telecommunication, Telecomunicación sin hilo
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
University of Puerto Rico, Mayagüez Campus, Mayagüez, 00681-5000, Puerto Rico
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=16581210
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.16581210
Database:
PASCAL Archive

Weitere Informationen

A Ground Penetrating Radar (GPR at 1.5 GHz) has been used to help determine the material type at different subsurface layers. Based on the incidence and reflected electromagnetic waves, a new method was devised which determines Material Characteristics in Fourier Domain (MCFD), which can be used for material identification. MCFD is calculated at every reflection. Each reflection is caused by sufficient change in dielectric constant of two different soil layers. Working in frequency domain the effect of the media is separated by using the wavelet of the electromagnetic signal before and after it is reflected from the media. An algorithm is developed which obtains the MCFD which defines material type by the use of a 2-layer Back-propagation Neural Network (NN). Material type can be determined irregardless of layer at which the object is buried (limited to GPR reflection intensity level), or object size, or if an extended subsurface layer is present. In this method, GPR images for different material types at different layers were obtained; up to two levels of mixed material types such as sand, clay, loam, rock, broken jar, etc. were considered.