Wu, TJ 等：A WTLS-Based Method for Remote Sensing Imagery Registration
来源：发布时间：2014-10-20
A WTLS-Based Method for Remote Sensing Imagery Registration
作者:Wu, TJ (Wu, Tianjun)[ 1 ] ; Ge, Y (Ge, Yong)[ 2 ] ; Wang, JH (Wang, Jianghao)[ 2 ] ; Stein, A (Stein, Alfred)[ 3 ] ; Song, YZ (Song, Yongze)[ 4,5 ] ; Du, YY (Du, Yunyan)[ 2 ] ; Ma, JH (Ma, Jianghong)[ 6 ]
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
卷: 53 期: 1 页: 102-116
DOI: 10.1109/TGRS.2014.2318705
出版年: JAN 2015
摘要
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.
通讯作者地址: Ge, Y (通讯作者)
Chinese Acad Sci, State Key Lab Resource & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
地址:
[ 1 ] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100101, Peoples R China
[ 2 ] Chinese Acad Sci, State Key Lab Resource & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[ 3 ] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7514 AE Enschede, Netherlands
[ 4 ] China Univ Geosci, Beijing 100083, Peoples R China
[ 5 ] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[ 6 ] Changan Univ, Dept Math & Informat Sci, Xian 710064, Peoples R China
作者:Wu, TJ (Wu, Tianjun)[ 1 ] ; Ge, Y (Ge, Yong)[ 2 ] ; Wang, JH (Wang, Jianghao)[ 2 ] ; Stein, A (Stein, Alfred)[ 3 ] ; Song, YZ (Song, Yongze)[ 4,5 ] ; Du, YY (Du, Yunyan)[ 2 ] ; Ma, JH (Ma, Jianghong)[ 6 ]
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
卷: 53 期: 1 页: 102-116
DOI: 10.1109/TGRS.2014.2318705
出版年: JAN 2015
摘要
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.
通讯作者地址: Ge, Y (通讯作者)
Chinese Acad Sci, State Key Lab Resource & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
地址:
[ 1 ] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100101, Peoples R China
[ 2 ] Chinese Acad Sci, State Key Lab Resource & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[ 3 ] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7514 AE Enschede, Netherlands
[ 4 ] China Univ Geosci, Beijing 100083, Peoples R China
[ 5 ] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[ 6 ] Changan Univ, Dept Math & Informat Sci, Xian 710064, Peoples R China
- 附件下载