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Volumn 2016-November, Issue , 2016, Pages 3591-3594

Deep fusion of hyperspectral and LiDAR data for thematic classification

Author keywords

Convolutional neural network; data fusion; deep neural network; feature extraction; hyperspectral; LiDAR

Indexed keywords


EID: 85007490436     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2016.7729930     Document Type: Conference Paper
Times cited : (31)

References (8)
  • 2
    • 53349084895 scopus 로고    scopus 로고
    • Fusion of hyperspectraland lidar remote sensing data for classification of complex forestareas
    • M. Dalponte, L. Bruzzone, and D. Gianelle, "Fusion of hyperspectraland LIDAR remote sensing data for classification of complex forestareas," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 5, pp. 1416-1427, 2008
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , Issue.5 , pp. 1416-1427
    • Dalponte, M.1    Bruzzone, L.2    Gianelle, D.3
  • 3
    • 79957693432 scopus 로고    scopus 로고
    • Tree classification with fused mobile laser scanning and hyperspectral data
    • E. Puttonen, A. Jaakkola, P. Litkey, and J. Hyyppä, "Tree classification with fused mobile laser scanning and hyperspectral data," Sensors, vol. 11, no. 5, pp. 5158-5182, 2011
    • (2011) Sensors , vol.11 , Issue.5 , pp. 5158-5182
    • Puttonen, E.1    Jaakkola, A.2    Litkey, P.3    Hyyppä, J.4
  • 4
    • 85027940604 scopus 로고    scopus 로고
    • A novel mkl model of integrating lidar data and msi for urban area classification
    • Y. Gu, Q. Wang, X. Jia, and J. A. Benediktsson, "A Novel MKL Model of Integrating LiDAR Data and MSI for Urban Area Classification," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 10, pp. 5312-5326, 2015
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , Issue.10 , pp. 5312-5326
    • Gu, Y.1    Wang, Q.2    Jia, X.3    Benediktsson, J.A.4
  • 5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.