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Volumn , Issue , 2010, Pages

Spectral image complexity estimated through local convex hull volume

Author keywords

Hyperspectral; Image complexity; Spectral remote sensing

Indexed keywords

COMPLEX DATA; CONVEX HULL; GAUSSIANS; GRAM MATRICES; HYPERSPECTRAL; HYPERSPECTRAL IMAGERY; IMAGE COMPLEXITY; LINEAR GEOMETRY; LINEAR SUBSPACE; LOCAL REGION; SEARCH PROBLEM; SECOND ORDER STATISTICS; SPATIAL RESOLUTION; SPECTRAL IMAGES; SPECTRAL REMOTE SENSING;

EID: 78649265643     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2010.5594869     Document Type: Conference Paper
Times cited : (26)

References (11)
  • 1
    • 0031288929 scopus 로고    scopus 로고
    • National imagery interpretability rating scales (NIIRS): Overview and methodology
    • SPIE
    • J. M. Irvine, "National imagery interpretability rating scales (NIIRS): Overview and methodology," in Airborne Reconnaissance XXI. SPIE, 1997, vol. 3128, pp. 93-103.
    • (1997) Airborne Reconnaissance XXI , vol.3128 , pp. 93-103
    • Irvine, J.M.1
  • 7
    • 2342517502 scopus 로고    scopus 로고
    • Think globally, fit locally: Unsupervised learning of low dimensional manifolds
    • Lawrence Saul and Sam Roweis, "Think globally, fit locally: Unsupervised learning of low dimensional manifolds," Journal of Machine Learning Research, vol. 4, pp. 119-155, 2003.
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 119-155
    • Saul, L.1    Roweis, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.