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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2013-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/13/11/14484 |
| _version_ | 1798041035661639680 |
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| author | Quanhua Zhao Yu Li Zhenggang Liu |
| author_facet | Quanhua Zhao Yu Li Zhenggang Liu |
| author_sort | Quanhua Zhao |
| collection | DOAJ |
| description | 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 dark spots can be obtained by segmenting a scene covering an oil spill and/or look-alikes into two homogenous regions: dark spots and their marine surroundings. The proposed algorithm is applied simultaneously to several real SAR intensity images and simulated SAR intensity images which are used for accurate evaluation. The results show that the proposed algorithm can extract the shape and distribution parameters of dark spot areas, which are useful for recognizing oil spills in a further classification stage. |
| first_indexed | 2024-04-11T22:15:54Z |
| format | Article |
| id | doaj.art-e51711b0a8c34707bd123feea2e45c99 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:15:54Z |
| publishDate | 2013-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e51711b0a8c34707bd123feea2e45c992022-12-22T04:00:23ZengMDPI AGSensors1424-82202013-10-011311144841449910.3390/s131114484SAR Image Segmentation Using Voronoi Tessellation and Bayesian Inference Applied to Dark Spot Feature ExtractionQuanhua ZhaoYu LiZhenggang LiuThis 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 dark spots can be obtained by segmenting a scene covering an oil spill and/or look-alikes into two homogenous regions: dark spots and their marine surroundings. The proposed algorithm is applied simultaneously to several real SAR intensity images and simulated SAR intensity images which are used for accurate evaluation. The results show that the proposed algorithm can extract the shape and distribution parameters of dark spot areas, which are useful for recognizing oil spills in a further classification stage.http://www.mdpi.com/1424-8220/13/11/14484Voronoi tessellationBayesian inferencefeature extractionoil spilldark spots |
| spellingShingle | Quanhua Zhao Yu Li Zhenggang Liu SAR Image Segmentation Using Voronoi Tessellation and Bayesian Inference Applied to Dark Spot Feature Extraction Sensors Voronoi tessellation Bayesian inference feature extraction oil spill dark spots |
| title | SAR Image Segmentation Using Voronoi Tessellation and Bayesian Inference Applied to Dark Spot Feature Extraction |
| title_full | SAR Image Segmentation Using Voronoi Tessellation and Bayesian Inference Applied to Dark Spot Feature Extraction |
| title_fullStr | SAR Image Segmentation Using Voronoi Tessellation and Bayesian Inference Applied to Dark Spot Feature Extraction |
| title_full_unstemmed | SAR Image Segmentation Using Voronoi Tessellation and Bayesian Inference Applied to Dark Spot Feature Extraction |
| title_short | SAR Image Segmentation Using Voronoi Tessellation and Bayesian Inference Applied to Dark Spot Feature Extraction |
| title_sort | sar image segmentation using voronoi tessellation and bayesian inference applied to dark spot feature extraction |
| topic | Voronoi tessellation Bayesian inference feature extraction oil spill dark spots |
| url | http://www.mdpi.com/1424-8220/13/11/14484 |
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