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Volumn 4310, Issue , 2001, Pages 144-152

An unsupervised segmentation algorithm based on an iterative spectral dissimilarity measure for hyperspectral imagery

Author keywords

Adaptive segmentation; Hyperspectral imagery; Multispectral processing; Unsupervised segmentation

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTATIONAL COMPLEXITY; IMAGE ANALYSIS; ITERATIVE METHODS; MULTISPECTRAL SCANNERS;

EID: 0035058461     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.411792     Document Type: Conference Paper
Times cited : (4)

References (15)
  • 9
    • 0032027086 scopus 로고    scopus 로고
    • Detection of subpixel anomalies in multispectral infrared imagery using an adaptive bayesian classifier
    • Mar.
    • (1998) IEEE Trans. Image Process. , vol.36 , Issue.2 , pp. 506-517
    • Ashton, E.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.