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AROSICS: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data

Scheffler, Daniel

AROSICS is a python package to perform automatic subpixel co-registration of two satellite image datasets based on an image matching approach working in the frequency domain, combined with a multistage workflow for effective detection of false-positives.

It detects and corrects local as well as global misregistrations between two input images in the subpixel scale, that are often present in satellite imagery. The algorithm is robust against the typical difficulties of multi-sensoral / multi-temporal images. Clouds are automatically handled by the implemented outlier detection algorithms. The user may provide user-defined masks to exclude certain image areas from tie point creation. The image overlap area is automatically detected. AROSICS supports a wide range of input data formats and can be used from the command line (without any Python experience) or as a normal Python package.

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  • Scheffler, D.; Hollstein, A.; Diedrich, H.; Segl, K.; Hostert, P. AROSICS: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data. Remote Sens. 2017, 9, 676. doi:https://doi.org/10.3390/rs9070676

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Publication date:
July 13, 2021
DOI:
10.5281/zenodo.5093940

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Keyword(s):
AROSICS image co-registration geometric pre-processing remote sensing sensor fusion
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GNU General Public License v3.0 or later

Versions

Version v1.7.6 10.5281/zenodo.5932053 Jan 31, 2022
Version v1.7.5 10.5281/zenodo.5914981 Jan 28, 2022
Version v1.7.4 10.5281/zenodo.5784728 Dec 15, 2021
Version v1.7.3 10.5281/zenodo.5749766 Dec 2, 2021
Version v1.5.1 10.5281/zenodo.5179425 Aug 11, 2021
Version v1.5.0 10.5281/zenodo.5093940 Jul 13, 2021
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