메뉴 건너뛰기




Volumn 2, Issue 1, 2008, Pages 871-874

Classification of lidar data using standard deviation of elevation and characteristic point features

Author keywords

Classification; LiDAR

Indexed keywords

GEOLOGY; OPTICAL RADAR; REMOTE SENSING; STATISTICS;

EID: 66549091730     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2008.4779133     Document Type: Conference Paper
Times cited : (4)

References (7)
  • 3
    • 34948901518 scopus 로고    scopus 로고
    • Hierarchical land-use classification using optical imagery and LiDAR data
    • Institute of Electrical and Electronics Engineers Inc.
    • C. Yoon, K. Kim, J. Shin, H. Lee, and C. Hwang, "Hierarchical land-use classification using optical imagery and LiDAR data," International Geoscience and Remote Sensing Symposium, Institute of Electrical and Electronics Engineers Inc., pp. 2746-2749,2006.
    • (2006) International Geoscience and Remote Sensing Symposium , pp. 2746-2749
    • Yoon, C.1    Kim, K.2    Shin, J.3    Lee, H.4    Hwang, C.5
  • 5
    • 34648834370 scopus 로고    scopus 로고
    • Improved classification of building infrastructure from airborne lidar data using spin images and fusion with ground-based lidar
    • Institute of Electrical and Electronics Engineers Computer Society
    • J.J. Caceres, and S.K. Clint, "Improved classification of building infrastructure from airborne lidar data using spin images and fusion with ground-based lidar," 2007 Urban Remote Sensing Joint Event, Institute of Electrical and Electronics Engineers Computer Society, 2007.
    • (2007) 2007 Urban Remote Sensing Joint Event
    • Caceres, J.J.1    Clint, S.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.