DocumentCode
1342518
Title
A Direct Determination of the Orientation Parameters in the Collinearity Equations
Author
Han, Jen-Yu ; Guo, Jenny ; Chou, Jun-Yun
Author_Institution
Dept. of Civil Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume
8
Issue
2
fYear
2011
fDate
3/1/2011 12:00:00 AM
Firstpage
313
Lastpage
316
Abstract
Collinearity equations provide an essential basis for photogrammetry applications in which the observables in the image and object spaces are related within an imaging system. It has been routine practice to determine the exterior orientation parameters in these equations using observed control points. However, due to the nonlinearity of the collinearity equations, an appropriate set of approximate values for the orientation parameters must be previously given in order to initiate the parameter estimation procedure and result in a converged solution. In this letter, a quick algorithm for determining the orientation parameters is proposed based on the newly developed noniterative solutions to linear transformations technique. This algorithm does not require auxiliary attitude information (e.g., from inertial navigation system (INS) measurements or trajectory data), and a direct solution for the orientation parameters can be obtained using a closed-form expression. It is then demonstrated, in a real case study, that the proposed approach is capable of producing a set of orientation parameter estimates with a sufficient level of quality to support rigorous image analyses.
Keywords
image processing; nonlinear equations; parameter estimation; photogrammetry; auxiliary attitude information; collinearity equations; exterior orientation parameters; image analyses; imaging system; inertial navigation system; linear transformations technique; orientation parameters; parameter estimation; photogrammetry applications; Collinearity equations; exterior orientations; linear transformations; photogrammetry;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2010.2066955
Filename
5594617
Link To Document