论文信息 - Mine detection from multiple acoustic backscatter data

Mine detection from multiple acoustic backscatter data

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.

David Casasent | Noppadon Kuljanyavivat

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