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Fractal dimension based sand ripple suppression for mine hunting with sidescan sonar
| Content Provider | Semantic Scholar |
|---|---|
| Author | Nelson, Jdb Kingsbury, Nick G. |
| Copyright Year | 2010 |
| Abstract | Sand ripples present a difficult challenge to current mine hunting approaches. We propose a robust and adaptive method that suppresses sand ripples prior to the detection stage. The method exploits a fractal model of the seabed and the connection between: dual-tree wavelets and local, directional fractal dimension; interscale energy ratios, scale invariant frequency localised fractal dimension, and a novel wavelet shrinkage approach. Tests on a reasonably large, real synthetic aperture sonar imagery dataset show that the ripple suppression method preserves detection performance of the matched filter on non-rippled data and significantly increases the detection performance on data that contain ripples. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/NGK/Nelson_IOA.pdf |
| Alternate Webpage(s) | http://www.homepages.ucl.ac.uk/~ucakjdb/2010_nelson_ioa.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
