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Volumn 3500, Issue , 1998, Pages 250-260

Use of texture information for urban analysis in spaceborne remote sensing imagery

Author keywords

Grey level co occurrence matrix; High resolution space borne images; Texture; Urban planning; Urban rural analysis

Indexed keywords

IMAGE ANALYSIS; MATRIX ALGEBRA; PATTERN RECOGNITION; RURAL AREAS; SPACE OPTICS; TEXTURES; URBAN PLANNING;

EID: 85049887774     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.331890     Document Type: Conference Paper
Times cited : (1)

References (7)
  • 1
  • 4
    • 0029309944 scopus 로고
    • Performance evaluation of texture measures for ground cover identification in satellite images by means of a neural network classifier
    • Augusteijn M.F., L.E. Clemens, and K.A. Shaw (1995). Performance evaluation of texture measures for ground cover identification in satellite images by means of a neural network classifier. IEEE Trans. Geoscience and Remote Sensing, 33,616-626
    • (1995) IEEE Trans. Geoscience and Remote Sensing , vol.33 , pp. 616-626
    • Augusteijn, M.F.1    Clemens, L.E.2    Shaw, K.A.3
  • 6
    • 0018478429 scopus 로고
    • Segmentation by texture using a co-occurrence matrix and a spit-and-merge algorithm
    • Chen P.C. and T. Pavlidis (1979). Segmentation by texture using a co-occurrence matrix and a spit-and-merge algorithm. Computer graphics and Image Processing, 10, 172-182
    • (1979) Computer Graphics and Image Processing , vol.10 , pp. 172-182
    • Chen, P.C.1    Pavlidis, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.