Lab 6

This lab focused on two geometric correction methods: Image-to-map rectification using nearest neighbor resampling and image-to-image registration using bilinear interpolation resampling.

Image-To-Map Rectification:

I used a map of Chicago to collect Ground Contrtol Points (GCPs) for a satellite image of Chicago. The rectification was set to a first order polynomial and I collected 4 GCPs and aqcuired a RMS of 0.2 and resampled the image using nearest neighbor.





Image-To-Image Registration:

I used a reference image of Sierra Leon to collect 12 GCPs for a third order polynomial registration and achieved a RMS of 0.07. I then resampled the image using bilinear interpolation. The finished product had a white, hazey appearence, but the features in the images aligned well with the reference image.