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A WTLS-Based Method for Remote Sensing Imagery Registration
Wu T. J.; Ge, Y.; Wang, J. H.; Stein, A.; Song, Y. Z.; Du, Y. Y.; Ma, J. H.
Source PublicationIeee Transactions on Geoscience and Remote Sensing
2015
Volume53
Issue1
Pages102-116
KeywordAdaptive weight scheme image registration unequal accuracy weighted total least squares (WTLS) total-least-squares random sample consensus robust regression sensed imagery control points estimator models error
AbstractThis paper introduces a weighted total least squares (WTLS)-based estimator into image registration to deal with the coordinates of control points (CPs) that are of unequal accuracy. The performance of the estimator is investigated by means of simulation experiments using different coordinate errors. Comparisons with ordinary least squares (LS), total LS (TLS), scaled TLS, and weighted LS estimators are made. A novel adaptive weight determination scheme is applied to experiments with remotely sensed images. These illustrate the practicability and effectiveness of the proposed registration method by collecting CPs with different-sized errors from multiple reference images with different spatial resolutions. This paper concludes that the WTLS-based iteratively reweighted TLS method achieves a more robust estimation of model parameters and higher registration accuracy if heteroscedastic errors occur in both the coordinates of reference CPs and target CPs.
Indexed BySCI
Language英语
ISSN0196-2892
DOI10.1109/tgrs.2014.2318705
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeSCI/SSCI论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/43493
Collection历年回溯文献
Recommended Citation
GB/T 7714
Wu T. J.,Ge, Y.,Wang, J. H.,et al. A WTLS-Based Method for Remote Sensing Imagery Registration. 2015.
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