SAR Image Segmentation Using Voronoi Tessellation and Bayesian Inference Applied to Dark Spot Feature Extraction

SAR Image Segmentation Using Voronoi Tessellation and Bayesian Inference Applied to Dark Spot Feature Extraction

This paper presents a new segmentation-based algorithm for oil spill feature extraction from Synthetic Aperture Radar (SAR) intensity images. The proposed algorithm combines a Voronoi tessellation, Bayesian inference and Markov Chain Monte Carlo (MCMC) scheme. The shape and distribution features of...

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Bibliographic Details
Main Authors: Quanhua Zhao, Yu Li, Zhenggang Liu
Format: Article
Language:English
Published: MDPI AG 2013-10-01
Series:Sensors
Subjects:
Voronoi tessellation
Bayesian inference
feature extraction
oil spill
dark spots
Online Access:http://www.mdpi.com/1424-8220/13/11/14484

Internet

http://www.mdpi.com/1424-8220/13/11/14484

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