메뉴 건너뛰기




Volumn 5806, Issue PART II, 2005, Pages 711-719

An algorithm for fully constrained abundance estimation in hyperspectral unmixing

Author keywords

Hyperspectral Imagery; Unmixing

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; PROBLEM SOLVING;

EID: 27544496694     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.605670     Document Type: Conference Paper
Times cited : (24)

References (7)
  • 3
    • 1642433361 scopus 로고    scopus 로고
    • Iterative algorithms for unmixing of hyperspectral imagery
    • Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, April
    • M. Velez-Reyes, S. Rosario, A. Puetz, R. B. Lockwood, "Iterative algorithms for unmixing of hyperspectral imagery." In Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, Proceedings of SPEE Vol. 5093, April 2003.
    • (2003) Proceedings of SPEE , vol.5093
    • Velez-Reyes, M.1    Rosario, S.2    Puetz, A.3    Lockwood, R.B.4
  • 4
    • 1642515055 scopus 로고    scopus 로고
    • Subpixel target size estimation for remotely sensed imagery
    • Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, April
    • Chang C. I.; Ren H.; et. al. "Subpixel Target Size Estimation for Remotely Sensed Imagery". In Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, Proceedings of SPIE Vol. 5093, April 2003.
    • (2003) Proceedings of SPIE , vol.5093
    • Chang, C.I.1    Ren, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.