Goodrich Corporation

Matthew D Egan

Suhail Shabbir Saquib

A method of predicting warps for image registration includes receiving warp data for a first band pair in an N-band system. The method includes fitting a warp model to the warp data to produce an offset profile for the first band pair, predicting a respective offset profile for at least one other band pair in the N-band system, and using the predicted respective offset profile to generate a warp for the at least one other band pair. The method also includes registering images of the at least one other band pair using the warp for the at least one other band pair. In another aspect, a method of predicting warps for image registration includes receiving warp data for m band pairs in an N-band system, wherein m&#x2264;(N&#x2212;1) and m&#x3e;2, to register images.

Fast multi-spectral image registration by modeling platform motion

A method for modeling warp for registration of images includes receiving input warp data and performing a fitting process on the input warp data to produce at least one of reduced noise warp data or reduced noise warp uncertainty. The warp for the at least one of reduced noise warp data or reduced noise warp uncertainty is modeled with components including an offset that varies in time and a non-linear distortion that does not vary with time. The method also includes outputting at the least one of reduced noise warp data or reduced noise warp uncertainty.

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Westford, MA, United States of America

Matthew D Egan