A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Object representation for multi-beam sonar image using local higher-order statistics
EURASIP Journal on Advances in Signal Processing
Multi-beam sonar imaging has been widely used in various underwater tasks such as object recognition and object tracking. Problems remain, however, when the sonar images are characterized by low signal-to-noise ratio, low resolution, and amplitude alterations due to viewpoint changes. This paper investigates the capacity of local higher-order statistics (HOS) to represent objects in multi-beam sonar images. The Weibull distribution has been used for modeling the background of the image. Localdoi:10.1186/s13634-016-0439-7 fatcat:y2wmyesz4ndffcqohfa6ukpfvu