@inproceedings{4a4b0ec2ad8c4fcbb9f5a5ce17b8d706,
title = "A GLOBAL REGISTRATION METHOD FOR SATELLITE IMAGE SERIES",
abstract = "Image registration is a fundamental tool of remote sensing. The recent proliferation of earth observation satellites has opened the way to the analysis of long image time series with denser temporal repetition. Given this wealth of images, it is crucial to design automatic tools to process them. We thus propose a method for the global registration of satellite image time series, that leverages their redundancy to improve in precision and robustness. By computing the relative displacement for all possible pairs of images, we are able to discard outliers and minimize the number of misaligned images. Experiments on synthetic data show that longer image series are registered with a higher precision. {\textcopyright} 2021 IEEE",
keywords = "Multi-image alignment, Phase correlation, Registration",
author = "Charles Hessel and {de Franchis}, Carlo and Gabriele Facciolo and Jean-Michel Morel",
year = "2021",
doi = "10.1109/IGARSS47720.2021.9554786",
language = "English",
isbn = "978-1-6654-4762-1",
publisher = "IEEE",
pages = "3121--3124",
booktitle = "IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium",
address = "United States",
note = "2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021) ; Conference date: 11-07-2021 Through 16-07-2021",
}