Cargando…
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...
Autores principales: | Zhao, Quanhua, Li, Yu, Liu, Zhenggang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3871083/ https://www.ncbi.nlm.nih.gov/pubmed/24233074 http://dx.doi.org/10.3390/s131114484 |
Ejemplares similares
-
Lectures on random Voronoi tessellations
por: Møller, Jesper
Publicado: (1994) -
Spatial tessellations: concepts and applications of Voronoi diagrams
por: Boots, Barry N, et al.
Publicado: (2000) -
Identifying Phase Space Boundaries with Voronoi Tessellations
por: Debnath, Dipsikha, et al.
Publicado: (2016) -
Membrane simulation analysis using Voronoi tessellation
por: Lukat, Gunther, et al.
Publicado: (2014) -
Voronoi Tessellations and the Shannon Entropy of the Pentagonal Tilings
por: Bormashenko, Edward, et al.
Publicado: (2023)