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Volumn 38, Issue , 2010, Pages

Semiautomatic segmentation of high resolution imagery with texture seed region growing

Author keywords

High resolution satellite imagery; Region growing; Semiautomatic segmentation; Texture

Indexed keywords

AUTOMATION; BINARY IMAGES; IMAGE SEGMENTATION; OBJECT RECOGNITION; PIXELS; TEXTURES;

EID: 84923585016     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (7)
  • 2
    • 29244479185 scopus 로고    scopus 로고
    • Automatic segmentation of high-resolution satellite imagery by integrating texture, intensity, and color features
    • Hu, X., Tao, C.V., Prenzel, B., 2005. Automatic segmentation of high-resolution satellite imagery by integrating texture, intensity, and color features. Photogrammetric Engineering & Remote Sensing 71 (12), 1399-1406.
    • (2005) Photogrammetric Engineering & Remote Sensing , vol.71 , Issue.12 , pp. 1399-1406
    • Hu, X.1    Tao, C.V.2    Prenzel, B.3
  • 3
    • 33845417588 scopus 로고    scopus 로고
    • Review of remotely sensed imagery classification patterns based on object oriented image analysis
    • Liu, Y., Li, M., Mao, L., Xu, F., 2006. Review of remotely sensed imagery classification patterns based on object oriented image analysis. Chinese Geographical Science 16 (3), 28-288.
    • (2006) Chinese Geographical Science , vol.16 , Issue.3 , pp. 28-288
    • Liu, Y.1    Li, M.2    Mao, L.3    Xu, F.4
  • 4
    • 0033101072 scopus 로고    scopus 로고
    • Unsupervised texture segmentation using feature distributions
    • Ojala, T., Pietikainen, M., 1999. Unsupervised texture segmentation using feature distributions. Pattern Recognition 32 (3), 477-486.
    • (1999) Pattern Recognition , vol.32 , Issue.3 , pp. 477-486
    • Ojala, T.1    Pietikainen, M.2
  • 6
    • 58149186662 scopus 로고    scopus 로고
    • Region based segmentation of QuickBird multispectral imagery through band ratios and fuzzy comparison
    • B. Wuest, Y. Zhang, 2009. Region based segmentation of QuickBird multispectral imagery through band ratios and fuzzy comparison. ISPRS Journal of Photogrammetry and Remote Sensing 64, 55-64
    • (2009) ISPRS Journal of Photogrammetry and Remote Sensing , vol.64 , pp. 55-64
    • Wuest, B.1    Zhang, Y.2
  • 7
    • 39749162214 scopus 로고    scopus 로고
    • Object-based classification using Quickbird imagery for delineating forest vegetation polygons in a Mediterranean test site
    • Mallinis, G., Koutsias, N., Tsakiri-Strati, M., Karteris, M., 2008. Object-based classification using Quickbird imagery for delineating forest vegetation polygons in a Mediterranean test site. ISPRS Journal of Photogrammetery & Remote Sensing 63 (2), 237-250.
    • (2008) ISPRS Journal of Photogrammetery & Remote Sensing , vol.63 , Issue.2 , pp. 237-250
    • Mallinis, G.1    Koutsias, N.2    Tsakiri-Strati, M.3    Karteris, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.