Graph-based ship extraction scheme for optical satellite image

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2011, Pages 491-494

  Chen, Feng ^a   Yu, Wenxian ^a   Liu, Xingzhao ^a   Wang, Kaizhi ^a   Gong, Lin ^a   Lv, Wentao ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

CFAR; fore background segmentation; graph based; optical satellite image; ship extraction

Indexed keywords

AUTOMATIC DETECTION; CFAR; COMPUTATION SPEED; EXTRACTION ACCURACY; FORE/BACKGROUND SEGMENTATION; GRAPH-BASED; OPTICAL SATELLITE IMAGES; OPTICAL SATELLITES; PARAMETER-TUNING; SATELLITE IMAGES; SEGMENTATION SCHEME;

ALGORITHMS; GEOLOGY; IMAGE SEGMENTATION; REMOTE SENSING; SATELLITES;

SHIPS;

EID: 80955148120     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2011.6049172     Document Type: Conference Paper

References (4)

1. Changren Z., Hui Z., Runsheng W., et al. "A Novel Hierarchical Method of Ship Detection from Spaceborne Optical Image Based on Shape and Texture Feature,"IEEE Trans on GRS,2010.
2. Chunming L., Chenyang X., Changfeng Gui, et al.: Level set evolution without Re-initialization: A new formulation.VCPR'05.2005.
3. Yuri B., Olga V.:Graph cuts in Vision and Graphics: Theories and Applications, In" Handbook of Mathematical Models in Computer Vision", Springer 2006.
4. Barber B., Dobkin P., and Huhdanpaa T., "The Quickhull Algorithm for Convex Hulls," ACM Transactions on Mathematical Software, 1996, 22(4): 469-483.