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Volumn 13, Issue 10, 2013, Pages 13949-13959

Biodiversity assessment using hierarchical agglomerative clustering and spectral unmixing over hyperspectral images

Author keywords

Biodiversity; Hierarchical clustering; Hyperspectral images

Indexed keywords


EID: 84885914435     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s131013949     Document Type: Article
Times cited : (15)

References (13)
  • 3
    • 4644276009 scopus 로고    scopus 로고
    • Testing the spectral variation hypothesis by using satellite multispectral images
    • Rocchini, D.; Chiarucci, A.; Loiselle, S.A. Testing the spectral variation hypothesis by using satellite multispectral images. Acta Oecol. 2004, 26, 117-120.
    • (2004) Acta Oecol. , vol.26 , pp. 117-120
    • Rocchini, D.1    Chiarucci, A.2    Loiselle, S.A.3
  • 4
    • 33646876613 scopus 로고    scopus 로고
    • Entropy and diversity
    • Jost, L. Entropy and diversity. Oikos 2006, 113, 363-375.
    • (2006) Oikos , vol.113 , pp. 363-375
    • Jost, L.1
  • 5
    • 35548986987 scopus 로고    scopus 로고
    • Effects of spatial and spectral resolution in estimating ecosystem α-diversity by satellite imagery
    • Rocchini, D. Effects of spatial and spectral resolution in estimating ecosystem α-diversity by satellite imagery. Remote Sens. Environ. 2007, 111, 423-434.
    • (2007) Remote Sens. Environ. , vol.111 , pp. 423-434
    • Rocchini, D.1
  • 7
    • 85161148381 scopus 로고    scopus 로고
    • The elements of statistical learning: Data mining, inference, and prediction
    • Hastie, T.J.; Tibshirani, R.J.; Friedman, J.H. The elements of statistical learning: Data mining, inference, and prediction. Math. Intell. 2005, 27, 83-85.
    • (2005) Math. Intell. , vol.27 , pp. 83-85
    • Hastie, T.J.1    Tibshirani, R.J.2    Friedman, J.H.3
  • 9
    • 84952503562 scopus 로고
    • Thirteen ways to look at the correlation coefficient
    • Lee Rodgers, J.; Nicewander, W.A. Thirteen ways to look at the correlation coefficient. Am. Stat. 1988, 42, 59-66.
    • (1988) Am. Stat. , vol.42 , pp. 59-66
    • Lee Rodgers, J.1    Nicewander, W.A.2
  • 13
    • 84880258085 scopus 로고    scopus 로고
    • Hyperspectral data geometry-based estimation of number of endmembers using p-norm-based pure pixel identification algorithm
    • Ambikapathi, A.; Chan, T.H.; Chi, C.Y.; Keizer, K. Hyperspectral data geometry-based estimation of number of endmembers using p-norm-based pure pixel identification algorithm. IEEE Trans. Geosci. Remote Sens. 2013, 51, 2753-2769.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , pp. 2753-2769
    • Ambikapathi, A.1    Chan, T.H.2    Chi, C.Y.3    Keizer, K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.