A sea-land segmentation algorithm based on graph theory

Zewen Huang

doi:10.1117/12.2235136

2 March 2016 A sea-land segmentation algorithm based on graph theory

Zewen Huang

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.

Citation Download Citation

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); https://doi.org/10.1117/12.2235136

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