DocumentCode :
781202
Title :
Angular Dependence of {cal K} -Distributed Sonar Data
Author :
Chenadec, Gilles Le ; Boucher, Jean-Marc ; Lurton, Xavier
Author_Institution :
Ecole Nat. Superieure des Telecommun. de Bretagne, Brest
Volume :
45
Issue :
5
fYear :
2007
fDate :
5/1/2007 12:00:00 AM
Firstpage :
1224
Lastpage :
1235
Abstract :
Backscattered signal statistics are widely used for target detection and seafloor characterization. The K-distribution shows interesting properties for describing experimental backscattered intensity statistics. In addition to the fact that its probability distribution function accurately fits actual sonar data, it advantageously provides a physical interpretation linked to the backscattering phenomenon. Sonar systems usually record backscattered signals from a wide angular range across the ship´s track. In this context, previous studies have shown that backscatter statistics strongly depend on the incidence angle. In this paper, we propose an extension of previous works to model the angular evolution of the K-distribution shape parameter. This evolution is made clear and analyzed from experimental data recorded with two sonar systems: a 95-kHz multibeam echosounder and a 110-kHz sidescan sonar. Model fitting with data backscattered from six seafloor configurations shows the improvement provided by our extension as compared to two previous models
Keywords :
backscatter; bathymetry; oceanographic techniques; sonar; 110 kHz; 95 kHz; K-distribution; multibeam echosounder; probability distribution function; seafloor characterization; signal backscattering; sonar data; target detection; Geometry; Radar scattering; Random variables; Scattering parameters; Sea floor; Sediments; Shape; Solid modeling; Sonar measurements; Statistical analysis; ${cal K}$-distribution; Seafloor classification; sonar statistical analysis;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2006.888454
Filename :
4156323
Link To Document :
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