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Image Matching of Satellite Data Based on Quadrilateral Control Networks
Author(s) -
Sedaghat Amin,
Ebadi Hamid,
Mokhtarzade Mehdi
Publication year - 2012
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/j.1477-9730.2012.00699.x
Subject(s) - quadrilateral , artificial intelligence , matching (statistics) , computer science , rotation (mathematics) , consistency (knowledge bases) , translation (biology) , pixel , computer vision , image rectification , image (mathematics) , set (abstract data type) , affine transformation , process (computing) , mathematics , rectification , geometry , engineering , biochemistry , statistics , chemistry , electrical engineering , structural engineering , voltage , finite element method , messenger rna , gene , programming language , operating system
Automatic image matching of satellite data is a difficult process due to the complex characteristics of such image pairs, including significant translation, rotation, scaling and illumination differences. A new method is proposed where, initially, a pre‐registration is performed to coarsely align the input and reference images. Next, a dense set of corner points are extracted using the Harris operator. The strongest conjugate corner points are determined and the accuracy is improved by using least squares matching to construct a precise braced quadrilateral control network in the two images. Once the consistency of the established network pairs has been determined, it is used as a framework to match the remaining corner points. Comprehensive evaluations of the proposed method on a variety of image pairs from different sensors prove its efficiency with sub‐pixel positional accuracy.