This work presents the development of an advanced image analysis technique capable of locating buried objects by ground-penetrating radar (GPR) images. The technique requires only a small amount of operator intervention and is fast enough to provide quasi-engineering drawings in real time. The work is intended to simplify the interpretation of the complex pattern found in GPR images. A theoretical development of the method is presented. Results on synthetic and real images from different buried objects are presented, and errors < 7% on the object position are observed with laboratory test objects.

Advanced image-processing technique for real-time interpretation of ground-penetrating radar images / Capineri, Lorenzo; Grande, P.; Temple, J. A. G.. - In: INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY. - ISSN 0899-9457. - ELETTRONICO. - 9:(1998), pp. 51-59. [10.1002/(SICI)1098-1098(1998)9:1<51::AID-IMA7>3.0.CO;2-Q]

Advanced image-processing technique for real-time interpretation of ground-penetrating radar images

CAPINERI, LORENZO;
1998

Abstract

This work presents the development of an advanced image analysis technique capable of locating buried objects by ground-penetrating radar (GPR) images. The technique requires only a small amount of operator intervention and is fast enough to provide quasi-engineering drawings in real time. The work is intended to simplify the interpretation of the complex pattern found in GPR images. A theoretical development of the method is presented. Results on synthetic and real images from different buried objects are presented, and errors < 7% on the object position are observed with laboratory test objects.
1998
9
51
59
Capineri, Lorenzo; Grande, P.; Temple, J. A. G.
File in questo prodotto:
File Dimensione Formato  
Int_JOURN_IMAGING_Temple_Capineri_1998.pdf

Accesso chiuso

Tipologia: Versione finale referata (Postprint, Accepted manuscript)
Licenza: Tutti i diritti riservati
Dimensione 231.43 kB
Formato Adobe PDF
231.43 kB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/647301
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 106
  • ???jsp.display-item.citation.isi??? 83
social impact