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Volumn 176 CCIS, Issue PART 2, 2011, Pages 86-90

Remote sensing image segmentation using mean shift method

Author keywords

adaptive adjustment; Mean shift; remote sensing; segmentation

Indexed keywords

ADAPTIVE ADJUSTMENT; FEATURE SPACE ANALYSIS; HIGH RESOLUTION REMOTE SENSING; IMAGE SEGMENTATION ALGORITHM; INITIAL PARAMETER; ITERATION STEP; ITERATION TIME; MEAN SHIFT; MEDICAL IMAGE SEGMENTATION; NATURAL SCENE IMAGES; REMOTE SENSING IMAGES; SEGMENTATION PROCESS; SPEED-UPS; WINDOW SIZE;

EID: 79960489212     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-21802-6_14     Document Type: Conference Paper
Times cited : (12)

References (7)
  • 1
    • 8344222887 scopus 로고    scopus 로고
    • Exploiting spectral and spatial information in hyperspectral urban data with high resolution
    • Dell'Acqua, F., et al.: Exploiting spectral and spatial information in hyperspectral urban data with high resolution. Geo-science and Remote Sensing Letters 1(4), 322-326 (2004)
    • (2004) Geo-science and Remote Sensing Letters , vol.1 , Issue.4 , pp. 322-326
    • Dell'Acqua, F.1
  • 5
    • 0345414073 scopus 로고    scopus 로고
    • Mean shift based clustering in high dimensions: A texture classification example
    • October
    • Georgescu, B., Shimshoni, I., Meer, P.: Mean shift based clustering in high dimensions: A texture classification example. In: Proc. ICCV, pp. 456-463 (October 2003)
    • (2003) Proc. ICCV , pp. 456-463
    • Georgescu, B.1    Shimshoni, I.2    Meer, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.