Wavelet analysis of side scan sonar imagery for classification

dc.contributor.author	Impagliazzo, John
dc.contributor.author	Greene, Walter
dc.contributor.author	Huynh, Quyen
dc.date.accessioned	2018-10-11T14:08:14Z
dc.date.available	2018-10-11T14:08:14Z
dc.date.issued	1997
dc.identifier	11475
dc.identifier.govdoc	CP-45
dc.identifier.uri	http://hdl.handle.net/20.500.12489/430
dc.description.abstract	Wavelet-based techniques are presented for compressing side scan sonar images communicated from UUV's through band limited communication channels. Testing with an automatrc classifier on reconstructed images demonstrates exceptional performance in preserving features required to identify mine-like objects. Wavelet domain automatic target recognition techniques are studied to further improve coefficient selection in compression. These techniques serve to enhance image fidelity in the vicinity of minelike objects while maintaining a high compression ratio.
dc.format	8 p. : ill. ; digital, PDF file
dc.language	English
dc.publisher	NATO. SACLANTCEN
dc.source	In: High Frequency Seafloor Acoustics (SACLANTCEN Conference Proceedings CP-45), 1997, pp. 259-266
dc.subject	Side scan sonar
dc.subject	Sonar images
dc.subject	Image processing
dc.subject	Wavelets (Mathematics)
dc.subject	Mine countermeasures (MCM)
dc.subject	Target classification
dc.title	Wavelet analysis of side scan sonar imagery for classification
dc.type	Papers and Articles
dc.type	Conference Proceedings (CP)