Abstract
Image-to-image co-registration is a fundamental task for data processing of satellite time series. This paper presents a new multi-image co-registration algorithm that simultaneously uses multi-image corresponding points in the whole multi-temporal sequence. Image co-registration parameters are then computed on the basis of a global adjustment. The implemented algorithm provides sub-pixel accuracy similar to that achievable with interactive measurements, but it is also able to register images which do not directly share corresponding features with the reference. Results for a (i) synthetic dataset and a (ii) real complex multi-temporal series made up of 13 Landsat images collected over a period of 30 years are illustrated and discussed. The obtained results showed that the implemented algorithm is atmospheric resistant and quite robust against land cover changes, cloud cover, and snow.