Tag: SONAR
Possibilistic fuzzy local information C-means with automated feature selection for seafloor segmentation
March 23, 2018Abstract: The Possibilistic Fuzzy Local Information C-Means (PFLICM) method is presented as a technique to segment side-look synthetic aperture sonar (SAS) imagery into distinct regions of the sea-floor. In this work, we investigate and present the results of an automated feature selection approach for SAS image segmentation. The chosen features and resulting segmentation from the […]
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