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Volumn 27, Issue 5, 2012, Pages 395-411

Hyperspectral band clustering and band selection for urban land cover classification

Author keywords

band clustering; band selection; dimensionality reduction; hyperspectral imagery; urban land cover classification

Indexed keywords

ALGORITHM; CLUSTER ANALYSIS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LAND COVER; PIXEL; SPECTRAL ANALYSIS;

EID: 84864689119     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106049.2011.643322     Document Type: Article
Times cited : (27)

References (10)
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  • 3
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    • Similarity-based unsupervised band selection for hyperspectral image analysis
    • Du, Q. and Yang, H. 2008. Similarity-based unsupervised band selection for hyperspectral image analysis. IEEE Geoscience and Remote Sensing Letters, 5(4): 564-568.
    • (2008) IEEE Geoscience and Remote Sensing Letters , vol.5 , Issue.4 , pp. 564-568
    • Du, Q.1    Yang, H.2
  • 6
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    • Thematic map comparison: evaluating the statistical significance of differences in classification accuracy
    • Foody, G. M. 2004. Thematic map comparison: evaluating the statistical significance of differences in classification accuracy. Photogrammetric Engineering & Remote Sensing, 70(5): 627-633.
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    • Foody, G.M.1
  • 7
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    • Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach
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  • 8
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    • Clustering-based hyperspectral band selection using information measures
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    • Martínez-Usó, A.1
  • 10
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    • Semi-supervised band clustering for dimensionality reduction of hyperspectral imagery
    • Su, H. 2011. Semi-supervised band clustering for dimensionality reduction of hyperspectral imagery. IEEE Geoscience and Remote Sensing Letters, 8(6): 1135-1139.
    • (2011) IEEE Geoscience and Remote Sensing Letters , vol.8 , Issue.6 , pp. 1135-1139
    • Su, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.