메뉴 건너뛰기




Volumn 34, Issue 2, 2001, Pages 361-373

A linear constrained distance-based discriminant analysis for hyperspectral image classification

Author keywords

Constrained energy minimization (CEM); Linear constrained distance based discriminant analysis (LCDA); Linear discriminant analysis (LDA); Orthogonal subspace projection (OSP); Unsupervised CEM (UCEM); Unsupervised LCDA (ULCDA); Unsupervised LDA (ULDA); Unsupervised OSP (UOSP)

Indexed keywords

IMAGE CLASSIFICATION; PATTERN RECOGNITION; SPECTRAL ANALYSIS;

EID: 0034818997     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(99)00215-0     Document Type: Article
Times cited : (138)

References (25)
  • 17
    • 0003954289 scopus 로고    scopus 로고
    • Detection and classification of subpixel spectral signatures in hyperspectral image sequences
    • Ph.D. Dissertation, Department of Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD
    • Harsanyi, J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.