In humanitarian demining, it is of primary importance to ensure personnel safety while minimizing search and detection times [1]. Furthermore, traditional detection techniques based on electromagnetic induction are primarily manual and thus are not easily adapted to an automated detection system. In this article, we show a specially-designed UWB-GPR radar and a dedicated algorithm able to analyze radar data and automatically detect the position of landmines buried in soil at shallow depth [2]. We compare the automated detection capability to that of experienced humans visually analyzing radar data.

Detection of targets from radar tracks of the UWB-GPR “1Tx + 4Rx” on the mobile platform “UGO 1st” / Bossi, Luca; Falorni, Pierluigi; Pochanin, Gennadiy; Ruban, Vadym; Ogurtsova, Tatiana; Crawford, Fronefield; Bechtel, Timothy; Capineri, Lorenzo. - ELETTRONICO. - (2020), pp. 448-451. ((Intervento presentato al convegno 18th International Conference on Ground Penetrating Radar, Golden, Colorado, 14–19 June 2020 [10.1190/gpr2020-116.1].

Detection of targets from radar tracks of the UWB-GPR “1Tx + 4Rx” on the mobile platform “UGO 1st”

Bossi, Luca;Falorni, Pierluigi;Capineri, Lorenzo
2020

Abstract

In humanitarian demining, it is of primary importance to ensure personnel safety while minimizing search and detection times [1]. Furthermore, traditional detection techniques based on electromagnetic induction are primarily manual and thus are not easily adapted to an automated detection system. In this article, we show a specially-designed UWB-GPR radar and a dedicated algorithm able to analyze radar data and automatically detect the position of landmines buried in soil at shallow depth [2]. We compare the automated detection capability to that of experienced humans visually analyzing radar data.
SEG Global Meeting Abstracts
18th International Conference on Ground Penetrating Radar, Golden, Colorado, 14–19 June 2020
Goal 9: Industry, Innovation, and Infrastructure
Bossi, Luca; Falorni, Pierluigi; Pochanin, Gennadiy; Ruban, Vadym; Ogurtsova, Tatiana; Crawford, Fronefield; Bechtel, Timothy; Capineri, Lorenzo
File in questo prodotto:
File Dimensione Formato  
gpr2020-116.1.pdf

Accesso chiuso

Tipologia: Pdf editoriale (Version of record)
Licenza: DRM non definito
Dimensione 785.45 kB
Formato Adobe PDF
785.45 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

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

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/1216419
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact