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Volumn 17, Issue 7, 1996, Pages 1407-1415

On unsupervised segmentation of remotely sensed imagery using nonlinear regression

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE SEGMENTATION; IMAGING SYSTEMS; IMAGING TECHNIQUES; NONLINEAR EQUATIONS; PIECEWISE LINEAR TECHNIQUES; STATISTICAL METHODS;

EID: 0030136497     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431169608948712     Document Type: Article
Times cited : (7)

References (9)
  • 2
    • 0026278621 scopus 로고
    • A review of assessing the accuracy of classifications of remotely sensed data
    • Congalton, R. G., 1991, A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, 35-46.
    • (1991) Remote Sensing of Environment , vol.37 , pp. 35-46
    • Congalton, R.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.