12.1.5.4 Misregistration Errors, Evaluation Change Detection

Chapter Contents (Back)
Change Detection. Misregistration Errors.
See also Change Detection for Damage Assessment.

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Dai, X., Khorram, S.,
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Stow, D.A.,
Reducing the effects of misregistration on pixel-level change detection,
JRS(20), No. 12, August 1999, pp. 2477. BibRef 9908

Roy, D.P.,
The Impact of Misregistration Upon Composited Wide Field of View Satellite Data and Implications for Change Detection,
GeoRS(38), No. 4, July 2000, pp. 2017-2032.
IEEE Top Reference. 0008
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Rodriguez-Carranza, C.E., Loew, M.H.,
Design and evaluation of an automatic procedure for detection of large misregistration of medical images,
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IEEE Abstract. 0311
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Wang, H.Q.[Hong-Qing], Ellis, E.C.[Erle C.],
Image Misregistration Error in Change Measurements,
PhEngRS(71), No. 9, September 2005, pp. 1037-1044.
WWW Link. The effect of image misregistration on feature-based change measurements. 0602
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Radke, R.J., Andra, S., Al-Kofahi, O., Roysam, B.,
Image Change Detection Algorithms: A Systematic Survey,
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IEEE DOI 0501
Survey, Change Detection. BibRef

Sundaresan, A.[Ashok], Varshney, P.K.[Pramod K.], Arora, M.K.[Manoj K.],
Robustness of Change Detection Algorithms in the Presence of Registration Errors,
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Chen, G.[Gang], Zhao, K.G.[Kai-Guang], Powers, R.[Ryan],
Assessment of the image misregistration effects on object-based change detection,
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Elsevier DOI 1402
Change detection BibRef

Vongsy, K., Eismann, M.T., Mendenhall, M.J.,
Extension of the Linear Chromodynamics Model for Spectral Change Detection in the Presence of Residual Spatial Misregistration,
GeoRS(53), No. 6, June 2015, pp. 3005-3021.
IEEE DOI 1503
geophysical image processing BibRef

Ortega, J.E.[John E.], Forcada, M.L.[Mikel L.], Sánchez-Martínez, F.[Felipe],
Fuzzy-Match Repair Guided by Quality Estimation,
PAMI(44), No. 3, March 2022, pp. 1264-1277.
IEEE DOI 2202
Translation tools. Maintenance engineering, Tools, Estimation, Pattern analysis, Proposals, Fuzzy-match repair, computer-aided translation, quality estimation BibRef

Wei, J.B.[Jing-Bo], Chen, L.[Lei], Chen, Z.[Zhou], Huang, Y.K.[Yu-Kun],
An Experimental Study of the Accuracy and Change Detection Potential of Blending Time Series Remote Sensing Images with Spatiotemporal Fusion,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
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He, Z.X.[Zai-Xing], Shen, C.T.[Chen-Tao], Zhao, X.Y.[Xin-Yue],
Local topology similarity guided probabilistic sampling for mismatch removal,
PR(150), 2024, pp. 110293.
Elsevier DOI 2403
Topological stability, Local topology similarity, Probability sampling consensus, Mismatch removal BibRef


Li, R.Y.[Rui-Yuan], Xiao, Z.L.[Zhao-Lin], Zhang, M.[Meng], Su, H.[Haonan], Jin, H.Y.[Hai-Yan],
False Correspondence Removal via Revisiting Semantic Context with Position-Attentive Learning,
ICIP23(1010-1014)
IEEE DOI 2312
BibRef

Liu, X.[Xin], Yang, J.F.[Ju-Feng],
Progressive Neighbor Consistency Mining for Correspondence Pruning,
CVPR23(9527-9537)
IEEE DOI 2309
BibRef

Han, H.C.[Hao-Chen], Miao, K.[Kaiyao], Zheng, Q.H.[Qing-Hua], Luo, M.[Minnan],
Noisy Correspondence Learning with Meta Similarity Correction,
CVPR23(7517-7526)
IEEE DOI 2309
BibRef

Park, J.M.[Jin-Man], Kim, U.H.[Ue-Hwan], Lee, S.H.[Seon-Hoon], Kim, J.H.[Jong-Hwan],
Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches,
CVPR22(13739-13749)
IEEE DOI 2210
Training, Visualization, Protocols, Surveillance, Design methodology, Estimation, Robot vision, Vision applications and systems BibRef

Simper, A.[Andrew],
Correcting General Band-to-Band Misregistrations,
ICIP96(II: 597-600).
IEEE DOI BibRef 9600

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
2-D Points with 2-D Structures, Point Matching, Features .


Last update:Apr 18, 2024 at 11:38:49