Title :
Research on unsupervised multi-ship image segmentation algorithm of remote sensing platforms
Author :
Liang Ying-Jie ; Guo Fu-Liang ; Chen Xiu-Liang
Author_Institution :
Electron. Eng. Coll., Naval Univ. of Eng., Wuhan, China
Abstract :
For the complexity of the ship feature classification and sensitivity of optical sensor to weather, airspace, illumination and other marine environment, we propose a new unsupervised multi-ship image segmentation algorithm of remote sensing platforms, including separation from the target area of the adaptive multi threshold criterion, algorithm based on multiscale Ncut hierarchical, multi-objective analysis of ship motion. Finally, through verification and analysis by experiment, comparing with other relevant segmentation methods, our method has better robustness and recognition effect.
Keywords :
image motion analysis; image segmentation; marine engineering; remote sensing; ships; adaptive multithreshold criterion; multiscale Ncut hierarchical ship motion; normalized cut method; remote sensing platforms; ship motion multiobjective analysis; unsupervised multiship image segmentation algorithm; Algorithm design and analysis; Classification algorithms; Correlation; Image segmentation; Marine vehicles; Matrix converters; Remote sensing; B-type correlation; Multi-ship Image; Ncut Criterion; Particle Algorithm; Remote Sensing Platforms; Target Detection; Unsupervised Segmentation;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
DOI :
10.1109/ICCSNT.2013.6967327