Title
Large-Rotation-Angle Photogrammetric Resection Based on Least-Squares Homotopy Iteration Method.
Abstract
Inclined imaging is an advanced sensing technique, and has been extensively used. Therefore, large-rotation angle photogrammetric resection has become an important topic. However, traditional iterative methods are limited by requiring good initial values. By contrast, noniterative methods do not require an initial value, although they exhibit relatively low accuracy and robustness. To obtain resul...
Year
DOI
Venue
2017
10.1109/LGRS.2017.2694016
IEEE Geoscience and Remote Sensing Letters
Keywords
Field
DocType
Mathematical model,Jacobian matrices,Iterative methods,Convergence,Nonlinear equations,Algorithm design and analysis,Estimation
Convergence (routing),Least squares,Computer vision,Errors-in-variables models,Photogrammetry,Algorithm design,Iterative method,Robustness (computer science),Initial value problem,Artificial intelligence,Mathematics
Journal
Volume
Issue
ISSN
14
8
1545-598X
Citations 
PageRank 
References 
0
0.34
4
Authors
5
Name
Order
Citations
PageRank
Chun Wu121.73
Qianqing Qin25810.53
Guorui Ma300.68
Zhitao Fu421.39
Zhenliang Xu510.79