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Volumn 35, Issue 4, 1997, Pages 1018-1031

Application of dempster-shafer evidence theory to unsupervised classification in multisource remote sensing

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUNCTIONS; ITERATIVE METHODS; SENSOR DATA FUSION;

EID: 0031190038     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/36.602544     Document Type: Article
Times cited : (305)

References (19)
  • 5
    • 0030192238 scopus 로고    scopus 로고
    • Some aspect of Dempster-Shafer evidence theory for classification of multi-modality medical images taking partial volume effect into account
    • I. Bloch Some aspect of Dempster-Shafer evidence theory for classification of multi-modality medical images taking partial volume effect into account Pattern Recognit. Lett. vol. 17 no. 8 pp. 905-916 1996.
    • Pattern Recognit. Lett. Vol. 17 No. 8 Pp. 905-916 1996.
    • Bloch, I.1
  • 13
    • 0029500479 scopus 로고    scopus 로고
    • The use of radar backscattering signals for measuring soil moisture and surface roughness Application of the mathematical theory of evidence to the image cueing and image segmentation problem in Proc. SPIE: Sig. Image Proc. Sys. Performance Evaluation Orlando FL Apr. 19-20 1990 vol. 1310 pp. 199-206.
    • M. Benallegue O. Taconet D. Vidal-Madjar and M. Normand The use of radar backscattering signals for measuring soil moisture and surface roughness Remote Sens. Environ. vol. 53 no. 1 pp. 61-68 July 1995. [14] H. Rasoulian W. E. Thompson L. F. Kazda and R. Parra-Loera Application of the mathematical theory of evidence to the image cueing and image segmentation problem in Proc. SPIE: Sig. Image Proc. Sys. Performance Evaluation Orlando FL Apr. 19-20 1990 vol. 1310 pp. 199-206.
    • Remote Sens. Environ. Vol. 53 No. 1 Pp. 61-68 July 1995. [14] H. Rasoulian W. E. Thompson L. F. Kazda and R. Parra-Loera
    • Benallegue, M.1    Taconet, O.2    Vidal-Madjar, D.3    Normand, M.4
  • 14
    • 0026897053 scopus 로고    scopus 로고
    • Unsupervised segmentation of polarimetric SAR data using the covariance matrix Multisource classification of remotely sensed data: Fusion of Landsat TM and SAR images IEEE Trans. Geosci. Remote Sensing vol. 32 pp. 768-778 July 1994.
    • E. Rignot R. Chellappa and P. Dubois Unsupervised segmentation of polarimetric SAR data using the covariance matrix IEEE Trans. Geosci. Remote Sensing vol. 30 pp. 697-704 July 1992. [16] A. H. Schistad Solberg A. K. Jain and T. Taxt Multisource classification of remotely sensed data: Fusion of Landsat TM and SAR images IEEE Trans. Geosci. Remote Sensing vol. 32 pp. 768-778 July 1994.
    • IEEE Trans. Geosci. Remote Sensing Vol. 30 Pp. 697-704 July 1992. [16] A. H. Schistad Solberg A. K. Jain and T. Taxt
    • Rignot, E.1    Chellappa, R.2    Dubois, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.