Sub-pixel precision image matching for measuring surface displacements on mass movements using normalized cross-correlation
By Misganu Debella-Gilo, Andreas Kääb. 2011
356 citations recorded by the source corpus.
Subfields: Atmospheric Science, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/ca8822dcfeb7bcc0ac287068292da13e60943484
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In Atmospheric Science
In Computer Vision and Pattern Recognition
- Ekin Ozer
- Maria Qing Feng
- Dongming Feng
- Norman Kerle
- Yoshio Fukuda
- André Stumpf
- Necati Catbas
- Chuan-Zhi Dong
Citations in the corpus
- Object-oriented mapping of landslides using Random Forests (2011, background): “Notable advances are being made in the detection of surfacedisplacements from active (e.g. Cascini et al., 2010) and passive (e.g. Debella-Gilo & Kääb, 2011) spaceborne sensors, allowing for detailed monitoring of ground-deformations.”
- A Vision-Based Sensor for Noncontact Structural Displacement Measurement (2015, methodology): “To cope with these problems, noncontact vision-based displacement measurement systems have been developed recently, which are primarily enabled by the template matching/registration techniques [1–3,9–19].”