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This paper describes a methodology based on state-of-the-art tools (for example, that apply classical PIV/PTV analysis) resulting in large-scale surface-flow characterization according to the first operational version of the RIVeR (Rectification of Image Velocity Results).
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However, in actual ortho-rectification of images, their spatial resolutions are inconsistent.
For the ortho-rectification of images in this paper, two kinds of DEM data can be used.
Theoretically, for ortho-rectification of images, the DEM data should be obtained at the same time as that of the high-resolution images and make sure that their spatial resolutions are consistent.
Rectification of camera image is automatically done and mapped on to a Google Map.
Also, geometric correction used to remove distortion prevention by the rectification of an image (Wie and Stein 1977).
Furthermore, rectification of the image pair based on the affine fundamental matrix can achieve better performance with much less geometric distortion.
In order to control the influence of digital terrain model on the accuracy of geocoding, a method of fast and precise rectification of SAR images to Polish topographic maps was elaborated.
In this following section we propose to use the homography and rectification for image inpainting with multiple images.
In this section we discuss how to apply homography and rectification for image inpainting with multiple images.
As the study area was located on a hilly terrain, ortho-rectification of procured images was essential to overcome non-systematic errors (Townshend et al. 2012).
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