Automatic and Precise Orthorectification, Coregistration, and Subpixel Correlation of Satellite Images, Application to Ground Deformation Measurements
California Institute of Technology · Scripps Institution of Oceanography · +1 more institution
Abstract
We describe a procedure to accurately measure ground deformations from optical satellite images. Precise orthorectification is obtained owing to an optimized model of the imaging system, where look directions are linearly corrected to compensate for attitude drifts, and sensor orientation uncertainties are accounted for. We introduce a new computation of the inverse projection matrices for which a rigorous resampling is proposed. The irregular resampling problem is explicitly addressed to avoid introducing aliasing in the ortho-rectified images. Image registration and correlation is achieved with a new iterative unbiased processor that estimates the phase plane in the Fourier domain for subpixel shift…
Citation impact
- FWCI
- 34.60
- Percentile
- 100%
- References
- 46
Authors
4- SLSbastien LeprinceCorresponding
California Institute of Technology
- SBSylvain Barbot
California Institute of Technology, Scripps Institution of Oceanography, University of California San Diego
- FAFranois Ayoub
California Institute of Technology
- JAJean‐Philippe Avouac
California Institute of Technology
Topics & keywords
- Subpixel rendering
- Computer science
- Orthophoto
- Remote sensing
- Artificial intelligence
- Computer vision
- Image registration
- Orientation (vector space)