A WTLS-based method for remote sensing imagery registration

Wu, T.; Ge, Y.; Wang, J.; Stein, A.; Song, Yongze; Du, Y.; Ma, J.

doi:10.1109/TGRS.2014.2318705

Access Status

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Authors

Wu, T.

Ge, Y.

Wang, J.

Stein, A.

Song, Yongze

Du, Y.

Ma, J.

Date

2015

Type

Journal Article

Metadata

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Citation

Wu, T. and Ge, Y. and Wang, J. and Stein, A. and Song, Y. and Du, Y. and Ma, J. 2015. A WTLS-based method for remote sensing imagery registration. IEEE Transactions on Geoscience and Remote Sensing. 53 (1): pp. 102-116.

Source Title

IEEE Transactions on Geoscience and Remote Sensing

DOI

10.1109/TGRS.2014.2318705

ISSN

0196-2892

Faculty

Faculty of Humanities

School

School of Design and the Built Environment

URI

http://hdl.handle.net/20.500.11937/77047

Collection

Curtin Research Publications

Abstract

This 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. © 2014 IEEE.