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Volumn 2013-June, Issue , 2013, Pages

Investigation of epifauna coverage on seagrass blades using spatial and spectral analysis of hyperspectral images

Author keywords

Classification; Digital Imaging Processing; Endmember Extraction; HIS; Hyperspectral; Hyperspectral Unmixing; Linear Mixing Model; N FINDR; Seagrass

Indexed keywords

BINARY IMAGES; CLASSIFICATION (OF INFORMATION); HYPERSPECTRAL IMAGING; INDEPENDENT COMPONENT ANALYSIS; NUTRIENTS; PLANTS (BOTANY); REMOTE SENSING; SPATIAL VARIABLES MEASUREMENT; SPECTROSCOPY; SPECTRUM ANALYSIS;

EID: 84916616879     PISSN: 21586276     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2013.8080658     Document Type: Conference Paper
Times cited : (31)

References (7)
  • 1
    • 79960657850 scopus 로고    scopus 로고
    • Detection of seagrass in optical shallow water with quickbird in the Xincun Bay, Hainan province, China
    • D. Yang, Y. Yang, C. Yang, J. Zhao, and Z. Sun, "Detection of seagrass in optical shallow water with quickbird in the Xincun Bay, Hainan province, China, " Image Processing, IET, vol. 5, pp. 363-368, 2011.
    • (2011) Image Processing, IET , vol.5 , pp. 363-368
    • Yang, D.1    Yang, Y.2    Yang, C.3    Zhao, J.4    Sun, Z.5
  • 2
    • 84861723546 scopus 로고    scopus 로고
    • Spatial-spectral preprocessing prior to endmember identification and unmixing of remotely sensed hyperspectral data
    • G. Martin and A. Plaza, "Spatial-Spectral Preprocessing Prior to Endmember Identification and Unmixing of Remotely Sensed Hyperspectral Data, " IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 5, pp. 380-395, 2012.
    • (2012) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol.5 , pp. 380-395
    • Martin, G.1    Plaza, A.2
  • 4
    • 0033310314 scopus 로고    scopus 로고
    • N-FINDR: An algorithm for fast autonomous spectral endmember determination in hyperspectral data
    • M. E. Winter, "N-FINDR: An algorithm for fast autonomous spectral endmember determination in hyperspectral data, " in Proc. SPIE Image Spectrometry V, 1999, vol. 3753, pp. 266-277.
    • (1999) Proc. SPIE Image Spectrometry v , vol.3753 , pp. 266-277
    • Winter, M.E.1
  • 6
    • 80053571096 scopus 로고    scopus 로고
    • Hyperspectral image classification using dictionary-based sparse representation
    • Oct
    • Y. Chen, N. M. Nasrabadi, T. D. Tran, "Hyperspectral Image Classification Using Dictionary-Based Sparse Representation, " IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 10, pp. 3973-3985, Oct. 2011.
    • (2011) IEEE Transactions on Geoscience and Remote Sensing , vol.49 , Issue.10 , pp. 3973-3985
    • Chen, Y.1    Nasrabadi, N.M.2    Tran, T.D.3
  • 7
    • 84858078312 scopus 로고    scopus 로고
    • Linear versus nonlinear PCA for the classification of hyperspectral data based on the extended morphological profiles
    • G. Licciardi, P. R. Marpu, J. Chanussot, and J. A. Benediktsson, "Linear versus nonlinear PCA for the classification of hyperspectral data based on the extended morphological profiles, " IEEE Geosci. Remote Sens. Lett., vol. 9, no. 3, pp. 447-451, 2012.
    • (2012) IEEE Geosci. Remote Sens. Lett. , vol.9 , Issue.3 , pp. 447-451
    • Licciardi, G.1    Marpu, P.R.2    Chanussot, J.3    Benediktsson, J.A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.