ADABOOST-BASED FEATURE RELEVANCE ASSESSMENT IN FUSING LIDAR AND IMAGE DATA FOR CLASSIFICATION OF TREES AND VEHICLES IN URBAN SCENES

ADABOOST-BASED FEATURE RELEVANCE ASSESSMENT IN FUSING LIDAR AND IMAGE DATA FOR CLASSIFICATION OF TREES AND VEHICLES IN URBAN SCENES

In this paper, we present an integrated strategy to comprehensively evaluate the feature relevance of point cloud and image data for classification of trees and vehicles in urban scenes. First of all, point cloud and image data are co-registered by backprojection with available orientation parameter...

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Bibliographic Details
Main Authors:	Y. Wei, W. Yao, J. Wu, M. Schmitt, U. Stilla
Format:	Article
Language:	English
Published:	Copernicus Publications 2012-07-01
Series:	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-7/323/2012/isprsannals-I-7-323-2012.pdf

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