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Volumn 500, Issue , 2012, Pages 785-791

Automated ship detection from optical remote sensing images

Author keywords

Contrast box; Optical images; Saliency map; Ship detection; Texture analysis

Indexed keywords

GEOMETRICAL OPTICS; HIGH SPEED PHOTOGRAPHY; IMAGE ANALYSIS; IMAGE SEGMENTATION; MARINE APPLICATIONS; NAVAL WARFARE; SHIPS; SPACE OPTICS; TEXTURES;

EID: 84863162746     PISSN: 10139826     EISSN: 16629795     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/KEM.500.785     Document Type: Conference Paper
Times cited : (18)

References (12)
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    • Topan, H.1    Büyüksalih, G.2
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    • A novel hierarchical method of ship detection from spaceborne optical image based on shape and texture features
    • Changren Zhu, Hui Zhou, Run Sheng Wang, Jun Guo, "A novel Hierarchical Method of Ship Detection from Spaceborne Optical Image Based on Shape and Texture Features", IEEE Transaction on Geoscience and Remote Sensing, 2010, 48(9):3446-3456
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  • 9
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    • Mean shift based adaptive texture image segmentation method
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    • Wang Shuang, Xia Yu, "Mean Shift Based Adaptive Texture Image Segmentation Method", Journal of Software, Vol.21, No.6, June 2010, pp.1451-1461
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    • Wang, S.1    Yu, X.2
  • 12
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    • Saliency based on information maximization
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.