AiTLAS: Artificial Intelligence Toolbox for Earth Observation
Journal
arXiv preprint arXiv: 2201.08789
Date Issued
2022-01-21
Author(s)
Panov, Panche
Simidjievski, Nikola
Kocev, Dragi
Abstract
The AiTLAS toolbox (Artificial Intelligence Toolbox for Earth Observation) includes state-of-theart machine learning methods for exploratory and
predictive analysis of satellite imagery as well
as repository of AI-ready Earth Observation (EO)
datasets. It can be easily applied for a variety of
Earth Observation tasks, such as land use and cover
classification, crop type prediction, localization of
specific objects (semantic segmentation), etc. The
main goal of AiTLAS is to facilitate better usability and adoption of novel AI methods (and models) by EO experts, while offering easy access and
standardized format of EO datasets to AI experts
which further allows benchmarking of various existing and novel AI methods tailored for EO data.
predictive analysis of satellite imagery as well
as repository of AI-ready Earth Observation (EO)
datasets. It can be easily applied for a variety of
Earth Observation tasks, such as land use and cover
classification, crop type prediction, localization of
specific objects (semantic segmentation), etc. The
main goal of AiTLAS is to facilitate better usability and adoption of novel AI methods (and models) by EO experts, while offering easy access and
standardized format of EO datasets to AI experts
which further allows benchmarking of various existing and novel AI methods tailored for EO data.
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