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Robust and Precise Registration of Oblique Images Based on Scale-Invariant Feature Transformation Algorithm

Authors :
Yang Huachao
Wang Yongbo
Zhang Shubi
Source :
IEEE Geoscience and Remote Sensing Letters. 9:783-787
Publication Year :
2012
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2012.

Abstract

The automatic registration of oblique images taken at different viewpoints remains a challenge until today. Based on scale-invariant feature transformation (SIFT) algorithm, a robust and accurate weighted least square matching (LSM) (SIFT/LSM) method modeled using 2-D projective transformation is proposed for highly accurate registration of oblique images. Normalized cross correlation (NCC) metric modified by an adaptive scale and orientation of SIFT features (SIFT/NCC) is proposed to obtain a good initial estimation for the SIFT/LSM. For practical use, image matching is implemented using a coarse-to-fine multistage strategy by sequentially incorporating the standard SIFT algorithm, SIFT/NCC, and SIFT/LSM. Experiments conducted on oblique images of real-world scenes demonstrate the feasibility of the proposed approach.

Details

ISSN :
15580571 and 1545598X
Volume :
9
Database :
OpenAIRE
Journal :
IEEE Geoscience and Remote Sensing Letters
Accession number :
edsair.doi...........64c395168212ea77c8555320b21e8b4d
Full Text :
https://doi.org/10.1109/lgrs.2011.2181485