Automatic and Precise Orthorectification, Coregistration, and Subpixel Correlation of Satellite Images, Application to Ground Deformation Measurements
By Sébastien Leprince, Sylvain Barbot, François Ayoub, Jean-Philippe Avouac. IEEE Transactions on Geoscience and Remote Sensing, 2007
914 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Media Technology, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/aacef994f94071ca14a310cef54419b2bd56e39d
How researchers see this paper
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In Aerospace Engineering
- Andreas Kääb
- Misganu Debella-Gilo
- Sébastien Leprince
- Uwe Rascher
- Jean-Philippe Avouac
- François Ayoub
In Media Technology
In Ocean Engineering
Citations in the corpus
- Sub-pixel precision image matching for measuring surface displacements on mass movements using normalized cross-correlation (2011, methodology): “Other techniques that are used in mass movement analysis for achieving sub-pixel precision are the Fourier-based phase matching and gradient-based matching (e.g. Haug et al., 2010; Leprince et al., 2007; Taylor et al., 2008).”
- The 2005, Mw 7.6 Kashmir earthquake: Sub-pixel correlation of ASTER images and seismic waveforms analysis (2006, background): “This is to date the most devastating earthquake to have occurred along the Himalayan arc.”
- The FLuorescence EXplorer Mission Concept—ESA’s Earth Explorer 8 (2017, background): “and coregistration of optical satellite images [17], given”
- Quantifying near‐field and off‐fault deformation patterns of the 1992 Mw 7.3 Landers earthquake (2015, methodology): “COSI-Corr then applies subpixel image correlation on the set of orthoimages by using an iterative, unbiased processor that estimates the phase plane in the Fourier domain [Leprince et al., 2007a, 2007b, 2008; Ayoub et al., 2009].”