Wavelet approach to detect discontinuities of intensity functions for minefield classification

Robert R. Muise; Charles K. Chui

doi:10.1117/12.211349

20 June 1995 Wavelet approach to detect discontinuities of intensity functions for minefield classification

Robert R. Muise, Charles K. Chui

Proceedings Volume 2496, Detection Technologies for Mines and Minelike Targets; (1995) https://doi.org/10.1117/12.211349
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

An inhomogeneous point process is assumed to govern the observation of a minefield embedded in background clutter. Basic assumptions are that the clutter process is distributed as an inhomogeneous Poisson process with a smooth intensity function and that the minefield process is spatially bounded. This leads to a scheme involving estimation of the underlying intensity of the observed process and detection of intensity discontinuities to locate minefield boundaries. A tensor product cubic spline with small bandwidth is used for original intensity estimation. Subsequently, an oversampled spline-wavelet decomposition is applied to the estimated intensity and the maximum modulus of the wavelet transform is used to detect 'discontinuities' in the minefield boundaries when the original smoothness assumptions about the clutter process are valid. Some simulated results are presented for several background clutter processes at different modulus of continuity.

Citation Download Citation

Robert R. Muise and Charles K. Chui "Wavelet approach to detect discontinuities of intensity functions for minefield classification", Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); https://doi.org/10.1117/12.211349

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