Paper
4 September 1998 Mine detection from multiple acoustic backscatter data
David P. Casasent, Noppadon Kuljanyavivat
Author Affiliations +
Abstract
The classification of mine-like and non-mine-like objects using acoustic backscatter data is considered. Backscatter data for 6 objects at 5 degree intervals in aspect is used. The data preprocessing is described; this includes location of the starting point of the received signals and multipath removal. Various features and classifiers are considered. Excellent performance is achieved.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David P. Casasent and Noppadon Kuljanyavivat "Mine detection from multiple acoustic backscatter data", Proc. SPIE 3392, Detection and Remediation Technologies for Mines and Minelike Targets III, (4 September 1998); https://doi.org/10.1117/12.324209
Lens.org Logo
CITATIONS
Cited by 4 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Backscatter

Acoustics

Neural networks

Signal to noise ratio

Wavelets

Fourier transforms

Land mines

Back to Top