Point cloud classification of Optech ILRIS3D

Chi Kuei Wang; Yao Yu Lu

Point cloud classification of Optech ILRIS3D

Department of Geomatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Ground-based Lidar has been widely employed in terrestrial survey because of its superior geometric ability, i.e., high quality and high density point cloud for 3D scene. However, its radiometric capability has not been fully exploited, partly because of the undisclosed conversion equation from digital numbers (intensity values collected by lidar) to absolute radiometric values by the manufacturers. In this paper, we first examine the point cloud collected by Optech ILRIS3D, characterize its radiometric property, and finally make suggestions for using this kind of data for classification.

Original language	English
Title of host publication	29th Asian Conference on Remote Sensing 2008, ACRS 2008
Pages	1759-1765
Number of pages	7
Publication status	Published - 2008
Event	29th Asian Conference on Remote Sensing 2008, ACRS 2008 - Colombo, Sri Lanka Duration: 2008 Nov 10 → 2008 Nov 14

Publication series

Name	29th Asian Conference on Remote Sensing 2008, ACRS 2008
Volume	3

Other

Other	29th Asian Conference on Remote Sensing 2008, ACRS 2008
Country	Sri Lanka
City	Colombo
Period	08-11-10 → 08-11-14

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

Fingerprint Dive into the research topics of 'Point cloud classification of Optech ILRIS3D'. Together they form a unique fingerprint.

Cite this

@inproceedings{c16bd35d0d7746b3ac47fa5da993d473,

title = "Point cloud classification of Optech ILRIS3D",

abstract = "Ground-based Lidar has been widely employed in terrestrial survey because of its superior geometric ability, i.e., high quality and high density point cloud for 3D scene. However, its radiometric capability has not been fully exploited, partly because of the undisclosed conversion equation from digital numbers (intensity values collected by lidar) to absolute radiometric values by the manufacturers. In this paper, we first examine the point cloud collected by Optech ILRIS3D, characterize its radiometric property, and finally make suggestions for using this kind of data for classification.",

author = "Wang, {Chi Kuei} and Lu, {Yao Yu}",

year = "2008",

language = "English",

isbn = "9781615676156",

series = "29th Asian Conference on Remote Sensing 2008, ACRS 2008",

pages = "1759--1765",

booktitle = "29th Asian Conference on Remote Sensing 2008, ACRS 2008",

}

TY - GEN

T1 - Point cloud classification of Optech ILRIS3D

AU - Wang, Chi Kuei

AU - Lu, Yao Yu

PY - 2008

Y1 - 2008

N2 - Ground-based Lidar has been widely employed in terrestrial survey because of its superior geometric ability, i.e., high quality and high density point cloud for 3D scene. However, its radiometric capability has not been fully exploited, partly because of the undisclosed conversion equation from digital numbers (intensity values collected by lidar) to absolute radiometric values by the manufacturers. In this paper, we first examine the point cloud collected by Optech ILRIS3D, characterize its radiometric property, and finally make suggestions for using this kind of data for classification.

AB - Ground-based Lidar has been widely employed in terrestrial survey because of its superior geometric ability, i.e., high quality and high density point cloud for 3D scene. However, its radiometric capability has not been fully exploited, partly because of the undisclosed conversion equation from digital numbers (intensity values collected by lidar) to absolute radiometric values by the manufacturers. In this paper, we first examine the point cloud collected by Optech ILRIS3D, characterize its radiometric property, and finally make suggestions for using this kind of data for classification.

UR - http://www.scopus.com/inward/record.url?scp=84865614062&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84865614062&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84865614062

SN - 9781615676156

T3 - 29th Asian Conference on Remote Sensing 2008, ACRS 2008

SP - 1759

EP - 1765

BT - 29th Asian Conference on Remote Sensing 2008, ACRS 2008

T2 - 29th Asian Conference on Remote Sensing 2008, ACRS 2008

Y2 - 10 November 2008 through 14 November 2008

ER -