@inproceedings{42f9786485094837a138440ff7c69489,
title = "ROBUST RATIONAL POLYNOMIAL CAMERA MODELLING FOR SAR AND PUSHBROOM IMAGING",
abstract = "The Rational Polynomial Camera (RPC) model can be used to describe a variety of image acquisition systems in remote sensing, notably optical and Synthetic Aperture Radar (SAR) sensors. RPC functions relate 3D to 2D coordinates and vice versa, regardless of physical sensor specificities, which has made them an essential tool to harness satellite images in a generic way. This article describes a terrain-independent algorithm to accurately derive a RPC model from a set of 3D-2D point correspondences based on a regularized least squares fit. The performance of the method is assessed by varying the point correspondences and the size of the area that they cover. We test the algorithm on SAR and optical data, to derive RPCs from physical sensor models or from other RPC models after composition with corrective functions. {\textcopyright} 2021 IEEE.",
keywords = "pushbroom cameras, Rational Polynomial Coefficients, RPC model, Synthetic Aperture Radar",
author = "Roland Akiki and Roger Mar{\'i} and {de Franchis}, Carlo and Jean-Michel Morel and Gabriele Facciolo",
year = "2021",
doi = "10.1109/IGARSS47720.2021.9554583",
language = "English",
isbn = "978-1-6654-4762-1",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "IEEE",
pages = "7908--7911",
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",
}