Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25607
Title: The generalized-line-based iterative transformation model for imagery registration and rectification
Authors: Li, C
Shi, W 
Keywords: Generalized-line-based iterative transformation model (GLBITM)
Ground control lines (GCLs)
Imagery registration
Iterative method with variable weights
Polynomial model
Posterior variance estimation
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE geoscience and remote sensing letters, 2014, v. 11, no. 8, 6709786, p. 1394-1398 How to cite?
Journal: IEEE geoscience and remote sensing letters 
Abstract: Imagery registration and rectification is a process of transforming different sets of data into one coordinate system. A new model, i.e., the generalized-line-based iterative transformation model (GLBITM), is proposed by integrating the line-based transformation model (LBTM) and generalized point photogrammetry (GPP). First, the initial value of an affine transformation is acquired by LBTM. Then, on the basis of ground control lines (GCLs), not ground control points, the linear feature adjustment model with GPP is extended to a quadratic polynomial model and utilized to iteratively solve transformation coefficients. This process eliminates the translation amount and recalculates the scale and rotation coefficients. The authors suggest an iterative method with variable weights that is based on posterior variance estimation to improve quality control. A significant characteristic of the GLBITM is that the two endpoints of the corresponding GCLs are not necessarily conjugate points. The GLBITM integrates the advantages of the LBTM and GPP and avoids their respective shortfalls. Finally, this experiment verifies that the GLBITM gives correct, robust, and effective results that can be applied in high-resolution satellite imagery processing of multiple sensors, angles, and resolutions.
URI: http://hdl.handle.net/10397/25607
ISSN: 1545-598X
DOI: 10.1109/LGRS.2013.2293844
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