Indirect georeferencing of terrestrial laser scanning data using control lines


Autoria(s): Dos Santos, Daniel R.; Dal Poz, Aluir P.; Khoshelham, Kourosh
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

27/05/2014

27/05/2014

01/09/2013

Resumo

An indirect method for the georeferencing of 3D point clouds obtained with terrestrial laser scanning (TLS) data using control lines is presented. This technique could be used for rapid data acquisition where resources do not permit the use of expensive navigation sensors or the placement of pre-signalised targets. The most important characteristic is the development of a mathematical model based on the principle that the direction vector of the TLS straight line is coplanar with the plane defined by the origin of the TLS system, one endpoint of a control line and the direction vector of the control line in the ground reference coordinate system. The transformation parameters are estimated by minimising the distance between the control lines and their corresponding TLS straight lines. The proposed method was tested using both simulated and real data, and the advantages of this new approach are compared with conventional surveying methods. © 2013 This article is a U.S. Government work and is in the public domain in the USA.

Formato

276-292

Identificador

http://dx.doi.org/10.1111/phor.12027

Photogrammetric Record, v. 28, n. 143, p. 276-292, 2013.

0031-868X

1477-9730

http://hdl.handle.net/11449/76449

10.1111/phor.12027

WOS:000324106300005

2-s2.0-84883797428

Idioma(s)

eng

Relação

Photogrammetric Record

Direitos

closedAccess

Palavras-Chave #Adjacent planes #Control lines #Indirect georeferencing #Terrestrial laser scanning data #Georeferencing #Navigation sensors #Rapid data acquisition #Reference coordinate system #Terrestrial laser scanning #Transformation parameters #Mathematical models #Seebeck effect #Steel beams and girders #Surveying instruments #coordinate #data acquisition #laser method #numerical model #plane #surveying #three-dimensional modeling #vector
Tipo

info:eu-repo/semantics/article