2 March 2016 A sea-land segmentation algorithm based on graph theory
Author Affiliations +
Proceedings Volume 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015); 990111 (2016) https://doi.org/10.1117/12.2235136
Event: 2015 ISPRS International Conference on Computer Vision in Remote Sensing, 2015, Xiamen, China
Abstract
As the key technology for sea-based target detection and recognition, sea-land segmentation directly effects the execution efficiency of target detection algorithm. Therefore we proposed an innovative sea-land segmentation method in this paper. Aiming at the problem of over-segmentation, we improved the graph-based image segmentation model based on difference in texture between sea and land. Firstly, by introducing the conception of average weight, we achieved the extraction of texture feature. Secondly, we redefined the difference between two components. Experiments results show the proposed method outperforms traditional sea-land segmentation approaches.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zewen Huang, Zewen Huang, } "A sea-land segmentation algorithm based on graph theory", Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 990111 (2 March 2016); doi: 10.1117/12.2235136; https://doi.org/10.1117/12.2235136
PROCEEDINGS
10 PAGES


SHARE
Back to Top