Title :
Statistical modelling of sidescan sonar images
Author :
Dunlop, Jonathan
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. Coll. London, UK
Abstract :
The K-distribution models the statistics of the backscatter from a coherent imaging process. It has successfully modelled radar backscatter from land and the sea surface, but it does not appear to have been applied to sonar images of a range of seabed sediment types. This paper shows that the K-distribution provided a good fit to sidescan sonar images of regions of large particles such as stones and gravel, but did not fit fine sediments such as mud. The generalised K-distribution provided a good fit to all the sediment types considered and should eventually produce excellent region classification and target detection algorithms. A number of physical mechanisms that may be responsible for the Ricean speckle component of the generalised K-distribution have been put forward
Keywords :
backscatter; geophysical techniques; oceanographic techniques; seafloor phenomena; sediments; sonar; sonar imaging; speckle; K-distribution model; Ricean speckle; backscatter; coherent imaging; fine sediment; geophysical measurement technique; gravel; marine sediment; mud; ocean; region classification; sea; seabed; seafloor geology; sediment type; sidescan sonar image; sonar imaging; statistical model; statistical modelling; statistics; stones; target detection algorithm; Backscatter; Land surface; Object detection; Radar imaging; Sea surface; Sediments; Sonar applications; Speckle; Statistics; Surface fitting;
Conference_Titel :
OCEANS '97. MTS/IEEE Conference Proceedings
Conference_Location :
Halifax, NS
Print_ISBN :
0-7803-4108-2
DOI :
10.1109/OCEANS.1997.634331