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Volumn 22, Issue 8, 2001, Pages 1555-1569

Performance analysis of textural features for characterization and classification of SAR images

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE SEGMENTATION; SYNTHETIC APERTURE RADAR;

EID: 0035918554     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160120085     Document Type: Article
Times cited : (29)

References (23)
  • 1
    • 0029529144 scopus 로고
    • Co-occurrence matrices for small region texture measurement and comparison
    • CARLSON, G. E., and EBEL, W. J., 1995, Co-occurrence matrices for small region texture measurement and comparison. Internationaljournal of Remote Sensing, 16, 1417-1423.
    • (1995) Internationaljournal of Remote Sensing , vol.16 , pp. 1417-1423
    • Carlson, G.E.1    Ebel, W.J.2
  • 3
    • 0029667615 scopus 로고    scopus 로고
    • Textural classification for ecological research using ATM images
    • DIKSHIT, O., 1996, Textural classification for ecological research using ATM images. International Journal of Remote Sensing, 17, 887-915.
    • (1996) International Journal of Remote Sensing , vol.17 , pp. 887-915
    • Dikshit, O.1
  • 6
    • 0018466704 scopus 로고
    • Statistical and structural approaches to texture
    • HARALICK, R. M., 1979, Statistical and structural approaches to texture. Proceedings of the IEEE, 67, 786-804.
    • (1979) Proceedings of the IEEE , vol.67 , pp. 786-804
    • Haralick, R.M.1
  • 7
    • 0015680481 scopus 로고
    • Textural features for image classification. IEEE Transactions on Systems
    • Haralick, R. M., Shanmugam, K., and Dinstein, I., 1973, Textural features for image classification. IEEE Transactions on Systems, Man, and Cybernetics, 3, 610-621.
    • (1973) Man, and Cybernetics , vol.3 , pp. 610-621
    • Haralick, R.M.1    Shanmugam, K.2    Dinstein, I.3
  • 10
    • 0025792757 scopus 로고
    • Texture features based on texture spectrum
    • He, D. C., and Wang, L., 1991, Texture features based on texture spectrum. Pattern Recognition, 24, 391-399.
    • (1991) Pattern Recognition , vol.24 , pp. 391-399
    • He, D.C.1    Wang, L.2
  • 18
    • 0026900840 scopus 로고
    • Performance evaluation for four classes of textural features
    • OHANIAN, P.P., and DUBES, R. C., 1992, Performance evaluation for four classes of textural features. Pattern Recognition, 25, 819-833.
    • (1992) Pattern Recognition , vol.25 , pp. 819-833
    • Ohanian, P.P.1    Dubes, R.C.2
  • 19
    • 0027387205 scopus 로고
    • A review of recent texture segmentation and feature extraction techniques
    • Reed, T. R., and Du Buf, J. M. H., 1993, A review of recent texture segmentation and feature extraction techniques. CVGIP: Image Understanding, 57, 359-372.
    • (1993) CVGIP: Image Understanding , vol.57 , pp. 359-372
    • Reed, T.R.1    Du Buf, J.M.H.2
  • 20
    • 0027007340 scopus 로고
    • Texture classification in aerial photographs and satellite data
    • SALI, E., and WOLFSON, H., 1992, Texture classification in aerial photographs and satellite data. International Journal of Remote Sensing, 13, 3395-3408.
    • (1992) International Journal of Remote Sensing , vol.13 , pp. 3395-3408
    • Sali, E.1    Wolfson, H.2
  • 21
    • 0026927227 scopus 로고
    • An efficient approach to estimate fractal dimension of textural images
    • SARKAR, N., and CHAUDHURI, B. B., 1992, An efficient approach to estimate fractal dimension of textural images. Pattern Recognition, 25, 1035-1041.
    • (1992) Pattern Recognition , vol.25 , pp. 1035-1041
    • Sarkar, N.1    Chaudhuri, B.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.