IMCORR is a package distributed by the National Snow and Ice Data Center (did you know we have one of those?), or NSIDC, that performs image cross correlation between two images using a comparison between a moving image chip in each image. It measures the displacement (in pixels) between the objects found in the two images, and writes that out to a text file. It … Continue reading IMCORR– using image correlation to georeference an image
Ok, so projecting an image isn’t hard at all in POV-Ray. I’m not sure what I was thinking. In my first post on camera calibration in POV-Ray, I suggested that we could analytically solve for lens and topographic distortion in POV-Ray. I haven’t gotten far as I don’t have a work project to take advantage of this yet, but I projected a false color infrared … Continue reading Follow-up (#1) for Camera Calibration in POV-Ray (Porro-Koppe Principle in Virtual)
A complete analytic solution for geometric distortions in remote sensing (ahem, ignoring atmosphere, of course) Ok, so here is another thought experiment. This time, it will take a few months before I have time to write the code for this, but maybe the thought experiment will inspire someone. A major problem of photogrammetry, remote sensing, and computer vision is correction of lens distortion. Thanks to … Continue reading 19th Century Camera Calibration for Remote Sensing in PovRay (or Porro-Koppe Principle in Virtual)
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