DocumentCode
1960652
Title
Multiple experimental investigations into buried mines detection and classification with SAS
Author
Hetet, A. ; Pigois, L. ; Salaun, A. ; Goh, I.N. ; Lim, C.K. ; Chia, C.S.
Author_Institution
Groupe d´´ Etudes Sous-Marines l´´ Atlantique, Brest, France
Volume
1
fYear
2001
fDate
2001
Firstpage
234
Abstract
Buried mines are a serious threat against harbor protection and littoral warfare. Several ways have been proposed to detect buried mines: parametric sonars, magnetic gradiometers and low frequency synthetic aperture sonars (LF SAS). To validate the last technique, two experiments have been conducted by GESMA of France using rail facilities, one at the Bay of Brest in December 1999 and one in Singapore area, with DSO of Singapore, in August 2000. For the first experiment, the seabed is typified with decomposed shells and algae, and for the second experiment, the seabed is a mud-silt bottom with nonhomogenous sedimentary deposits that may bury mine targets. Both experiments are in very shallow water conditions and frequency investigations are running from 14-80 kHz. To study the impact on SAS operation in such an environment, relevant and real data must be used for analysis to assess the sonar and processing performances. Experiments designs, approaches and preliminary results are described in this paper
Keywords
buried object detection; image classification; sonar detection; sonar imaging; sonar target recognition; synthetic aperture sonar; weapons; 14 to 80 kHz; Bay of Brest; SAS; Singapore; buried mines detection; classification; harbor protection; littoral warfare; low frequency synthetic aperture sonars; mud-silt bottom; nonhomogenous sedimentary deposits; seabed; very shallow water; Algae; Frequency; Laboratories; Magnetic separation; Performance analysis; Protection; Rails; Sediments; Sonar detection; Synthetic aperture sonar;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS, 2001. MTS/IEEE Conference and Exhibition
Conference_Location
Honolulu, HI
Print_ISBN
0-933957-28-9
Type
conf
DOI
10.1109/OCEANS.2001.968722
Filename
968722
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