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Author Tiwari, Poonam S. ♦ Pande, Hina
Source SpringerLink
Content type Text
Publisher Springer-Verlag
File Format PDF
Copyright Year ©2008
Language English
Subject Domain (in DDC) Natural sciences & mathematics ♦ Earth sciences
Subject Keyword Airborne LiDAR ♦ Height texture ♦ Classification ♦ Building identification ♦ Remote Sensing/Photogrammetry ♦ Earth Sciences
Abstract Airborne LiDAR has found application in an increasing number of mapping and Geo-data acquisition tasks. Apart from terrain information generation, applications such as automatic detection and modeling of objects like buildings or vegetation for the generation of 3-D city models have been explored. Besides the height itself, height texture defined by local variations of the height is a significant parameter for object recognition. The paper explores the potential of the analysis of height texture as a cue for the automatic detection of objects in LiDAR datasets. A number of texture measures were computed. Based on their definition and computation these measures were used as bands in a classification algorithm, and objects like buildings, single trees, and roads could be recognized.
ISSN 0255660X
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2009-03-13
Publisher Place India
e-ISSN 09743006
Journal Journal of the Indian Society of Remote Sensing
Volume Number 36
Issue Number 3
Page Count 8
Starting Page 227
Ending Page 234


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Source: SpringerLink