Editing Image registration (section)

== Uncertainty ==
There is a level of [[uncertainty]] associated with registering images that have any spatio-temporal differences.  A confident registration with a measure of uncertainty is critical for many [[change detection]] applications such as medical diagnostics.

In [[remote sensing]] applications where a digital image pixel may represent several kilometers of spatial distance (such as NASA's [[LANDSAT]] imagery), an uncertain image registration can mean that a solution could be several kilometers from ground truth.  Several notable papers have attempted to quantify uncertainty in image registration in order to compare results.<ref name="simonson">Simonson, K., Drescher, S., Tanner, F., A Statistics Based Approach to Binary Image Registration with Uncertainty Analysis.  IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 1, January 2007</ref><ref name="Domokos">Domokos, C., Kato, Z., Francos, J., Parametric estimation of affine deformations of binary images. Proceedings of IEEE [[International Conference on Acoustics, Speech, and Signal Processing]], 2008</ref> However, many approaches to quantifying uncertainty or estimating deformations are computationally intensive or are only applicable to limited sets of spatial transformations.