메뉴 건너뛰기




Volumn 2015-November, Issue , 2015, Pages 57-60

Hyperspectral and lidar data integration and classification

Author keywords

classification; geometric distortions; Hyperspectral; integration; LiDAR

Indexed keywords


EID: 84962579198     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2015.7325696     Document Type: Conference Paper
Times cited : (5)

References (4)
  • 2
    • 84906914204 scopus 로고    scopus 로고
    • Employing measures of heterogeneity and an object-based approach to extrapolate tree species distribution data
    • Jul.
    • T. G. Jones, N. C. Coops, S. E. Gergel and T. Sharma, "Employing measures of heterogeneity and an object-based approach to extrapolate tree species distribution data, " Diversity, vol. 6, no. 3, pp. 396-414, Jul. 2014.
    • (2014) Diversity , vol.6 , Issue.3 , pp. 396-414
    • Jones, T.G.1    Coops, N.C.2    Gergel, S.E.3    Sharma, T.4
  • 3
    • 53349084895 scopus 로고    scopus 로고
    • Fusion of hyperspectral and LiDAR remote sensing data for classification of complex forest areas
    • May
    • M. Dalponte, L. Bruzzone, and D. Gianelle, "Fusion of Hyperspectral and LiDAR remote sensing data for classification of complex forest areas", IEEE Transactions on Geoscience and Remote Sensing, vol. 46, no. 5, pp. 1416-1427, May 2008.
    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , Issue.5 , pp. 1416-1427
    • Dalponte, M.1    Bruzzone, L.2    Gianelle, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.