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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/4591
Title: A New Approach to 3D Dense LiDAR Data Classification in Urban Environment
Authors: Chauhan I.
Brenner C.
Garg, Rahul D.
Parida, Manoranjan
Published in: Journal of the Indian Society of Remote Sensing
Abstract: Classification of Mobile Mapping LiDAR (Light Detection and Ranging) data is a challenge in the research community since the day when laser scanner system were integrated and mounted on vehicles for collection of 3D data in urban environment. The approach proposed here for classifying LiDAR data is analogous to the process followed for classifying data from satellite images. Pixel based and segmentation based methods have been employed in past for classifying images obtained from satellites. These methods were based on spectral properties of objects present in the images. But for Mobile mapping LiDAR data this approach has been applied and tested for the first time. The properties of this data are completely different from that of satellite images. So even if the basic approach remains the same, many changes have to be made in the entire classification process. The paper here aims to propose the basic procedure of using pixel-wise classification on dense 3D LiDAR data. ¬© 2014 Indian Society of Remote Sensing.
Citation: Journal of the Indian Society of Remote Sensing(2014), 42(3): 673-678
URI: https://doi.org/10.1007/s12524-013-0354-4
http://repository.iitr.ac.in/handle/123456789/4591
Issue Date: 2014
Publisher: Springer India
Keywords: Classification
High volume 3D data
LiDAR
Principal component analysis
Urban environment
ISSN: 0255660X
Author Scopus IDs: 56019512200
7102383497
15044199700
8963649200
Author Affiliations: Chauhan, I., Department of Civil Engineering, Indian Institute of Technology, H.no. 1266, Jadugar road, 44 Civil lines, Roorkee, 247667, India
Brenner, C., Institute of Cartography and Geoinformatics, Leibniz University Hannover, Hannover, Germany
Garg, R.D., Department of Civil Engineering, Indian Institute of Technology, H.no. 1266, Jadugar road, 44 Civil lines, Roorkee, 247667, India
Parida, M., Department of Civil Engineering, Indian Institute of Technology, H.no. 1266, Jadugar road, 44 Civil lines, Roorkee, 247667, India
Corresponding Author: Chauhan, I.; Department of Civil Engineering, Indian Institute of Technology, H.no. 1266, Jadugar road, 44 Civil lines, Roorkee, 247667, India; email: inshu0302@gmail.com
Appears in Collections:Journal Publications [CE]

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