Adaptive mapped least squares SVM-based smooth fitting method for DSM generation of LIDAR data

International Journal of Remote Sensing

Volumn 30, Issue 21, 2009, Pages 5669-5683

  Shi, Wenzhong ^a   Zheng, Sheng ^b   Tian, Yan ^c  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b CHINA THREE GORGES UNIVERSITY   (China)

^c HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

GEOMETRY; LEAST SQUARES APPROXIMATIONS; QUALITY CONTROL; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES;

COMPUTATION EFFICIENCY; DIFFERENTIAL GEOMETRY; LIGHT DETECTION AND RANGING; MAPPED LEAST SQUARES SUPPORT VECTOR MACHINES; QUALITY EVALUATION; RADIAL BASIS FUNCTIONS; TOPOGRAPHIC ANALYSIS; TRIANGULATION METHOD;

OPTICAL RADAR;

IMAGE CLASSIFICATION; LEAST SQUARES METHOD; LIDAR; REMOTE SENSING; TRIANGULATION;

EID: 70449378695     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802709237     Document Type: Article

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