Mira Martínez, Damián, Gil, Pablo, Alacid Soto, Beatriz, Torres, Fernando
Oil Spill Detection using Segmentation based Approaches
Mira, D., et al. (2017). “Oil Spill Detection using Segmentation based Approaches”. In: Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2017), 442-447. doi:10.5220/0006191504420447
URI: http://hdl.handle.net/10045/75570
DOI: 10.5220/0006191504420447
ISSN: 
ISBN: 978-989-758-222-6
Abstract: 
This paper presents a description and comparison of two segmentation methods for the oil spill detection in the sea surface. SLAR sensors acquire video sequences from which snapshots are extracted for the detection of oil spills. Both approaches are segmentation based on graph techniques and J-image respectively. Finally, the aim of applying both approaches to SLAR snapshots, as shown, is to detect the largest part of the oil slick and minimize the false detection of the spill.
Keywords:Oils Spill Detection, Remote Sensing, Segmentation, Slar Data
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