Robust Registration of Multispectral Satellite Images Based on Structural and Geometrical Similarity
- 12 July 2021
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Geoscience and Remote Sensing Letters
- Vol. 19 (1545598X), 1-5
- https://doi.org/10.1109/lgrs.2021.3093502
Abstract
Accurate registration of multispectral satellite images is a challenging task due to the significant and nonlinear radiometric differences between these data. To address this problem, this letter explores the strategy of geometrical similarity between triplets of feature points, and it is combined with the structural similarity between images in a feature-based image registration framework. The underlying principle is that the structural and geometrical similarities generally preserve across the images being registered. In this feature-based image registration framework, a set of control points (CPs) are first detected. Then, the geometric similarity between triplets of CPs is defined, followed by a ranking operation of these triplets of CPs. The highly ranked triplets are used to estimate a spatial transformation between images. Finally, initial matches obtained by a benchmark registration technique are refined by the estimated transformation. The experimental results demonstrate the great effectiveness of the proposed technique for registering multispectral satellite images.Keywords
Funding Information
- Natural Science Foundation of Shandong province, China (ZR2020MF041, ZR2020MF054)
- National Natural Science Foundation of China (61802212)
This publication has 19 references indexed in Scilit:
- Enhancing SIFT-based image registration performance by building and selecting highly discriminating descriptorsPattern Recognition Letters, 2016
- A low-dimensional step pattern analysis algorithm with application to multimodal retinal image registrationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- A local descriptor based registration method for multispectral remote sensing images with non-linear intensity differencesISPRS Journal of Photogrammetry and Remote Sensing, 2014
- Intensity-based image registration using scatter searchArtificial Intelligence in Medicine, 2014
- Improved Symmetric-SIFT for Multi-modal Image RegistrationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Intensity-Based Image Registration by Minimizing Residual ComplexityIEEE Transactions on Medical Imaging, 2010
- Registration of Challenging Image Pairs: Initialization, Estimation, and DecisionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
- A performance evaluation of local descriptorsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2005
- Distinctive Image Features from Scale-Invariant KeypointsInternational Journal of Computer Vision, 2004
- Image registration methods: a surveyImage and Vision Computing, 2003