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Volumn 36, Issue 3, 2015, Pages 734-748

Hyperspectral imagery classification using local collaborative representation

Author keywords

[No Author keywords available]

Indexed keywords

ATOMS; REMOTE SENSING; SPECTROSCOPY; TESTING;

EID: 84923334195     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2014.1001080     Document Type: Article
Times cited : (13)

References (16)
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    • Chen, Y.1    Nasrabadi, N.M.2    Tran, T.D.3
  • 4
    • 0041732265 scopus 로고    scopus 로고
    • Preprocessing EO-1 Hyperion Hyperspectral Data to Support the Application of Agricultural Indexes
    • Datt, B., T. R. McVicar, T. G. Van Niel, D. L. B. Jupp, and J. S. Pearlman. 2003. “Preprocessing EO-1 Hyperion Hyperspectral Data to Support the Application of Agricultural Indexes.” IEEE Transactions on Geoscience Remote Sensing 41 (6): 1246–1259. doi:10.1109/TGRS.2003.813206.
    • (2003) IEEE Transactions on Geoscience Remote Sensing , vol.41 , Issue.6 , pp. 1246-1259
    • Datt, B.1    McVicar, T.R.2    Van Niel, T.G.3    Jupp, D.L.B.4    Pearlman, J.S.5
  • 5
    • 18844429782 scopus 로고    scopus 로고
    • On the Impact of PCA Dimension Reduction for Hyperspectral Detection of Difficult Targets
    • Farrel, M. D., and R. M. Mersereau. 2005. “On the Impact of PCA Dimension Reduction for Hyperspectral Detection of Difficult Targets.” IEEE Geoscience and Remote Sensing Letters 2 (2): 192–195. doi:10.1109/LGRS.2005.846011.
    • (2005) IEEE Geoscience and Remote Sensing Letters , vol.2 , Issue.2 , pp. 192-195
    • Farrel, M.D.1    Mersereau, R.M.2
  • 6
    • 0344074641 scopus 로고    scopus 로고
    • Conifer Species Recognition: An Exploratory Analysis of In Situ Hyperspectral Data
    • Gong, P., R. Pu, and B. Yu. 1997. “Conifer Species Recognition: An Exploratory Analysis of In Situ Hyperspectral Data.” Remote Sensing of Environment 62 (2): 189–200. doi:10.1016/S0034-4257(97)00094-1.
    • (1997) Remote Sensing of Environment , vol.62 , Issue.2 , pp. 189-200
    • Gong, P.1    Pu, R.2    Yu, B.3
  • 8
    • 77957990796 scopus 로고    scopus 로고
    • An Effective Feature Selection Method for Hyperspectral Image Classification Based on Genetic Algorithm and Support Vector Machine
    • Li, S., H. Wu, D. Wan, and J. Zhu. 2011. “An Effective Feature Selection Method for Hyperspectral Image Classification Based on Genetic Algorithm and Support Vector Machine.” Knowledge–Based Systems 24 (1): 40–48. doi:10.1016/j.knosys.2010.07.003.
    • (2011) Knowledge–Based Systems , vol.24 , Issue.1 , pp. 40-48
    • Li, S.1    Wu, H.2    Wan, D.3    Zhu, J.4
  • 9
    • 4344614511 scopus 로고    scopus 로고
    • Classification of Hyperspectral Remote Sensing Images with Support Vector Machines
    • Melgani, F., and L. Bruzzone. 2004. “Classification of Hyperspectral Remote Sensing Images with Support Vector Machines.” IEEE Transactions on Geoscience Remote Sensing 42 (8): 1778–1790. doi:10.1109/TGRS.2004.831865.
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    • Melgani, F.1    Bruzzone, L.2
  • 10
    • 0035882614 scopus 로고    scopus 로고
    • Study of Crop Growth Parameters Using Airborne Imaging Spectrometer Data
    • Patel, N. K., C. Patnaik, S. Dutta, A. M. Shekh, and A. J. Dave. 2001. “Study of Crop Growth Parameters Using Airborne Imaging Spectrometer Data.” International Journal of Remote Sensing 22 (12): 2401–2411. doi:10.1080/01431160117383.
    • (2001) International Journal of Remote Sensing , vol.22 , Issue.12 , pp. 2401-2411
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  • 12
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    • Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques
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    • (2012) IEEE Transactions on Geoscience and Remote Sensing , vol.50 , Issue.3 , pp. 879-893
    • Zhang, L.1    Zhang, L.2    Tao, D.3    Huang, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.