Year: 2022
Type: Journal Article
Title: AiTLAS: Artificial Intelligence Toolbox for Earth Observation
Author: Kitanovski, Ivan
Author: Dimitrovski, Ivica
Author: Panov, Panche
Author: Simidjievski, Nikola
Author: 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.
Publisher:
Relation: arXiv preprint arXiv: 2201.08789
Identifier: oai:repository.ukim.mk:20.500.12188/23175
Identifier: http://hdl.handle.net/20.500.12188/23175
