Classification Data set : Land Cover Classification with Gaussian Processes using spatio-spectro-temporal features

DOI10.5281/zenodo.7099785Zenodo7099785MaRDI QIDQ6697636

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 21 September 2022

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Description

Classification data set (train, validation, test) from the study area based on 27 tiles on the south of the France. Data set are provided for each eco-climatic region. The size corresponds to the data set DS-A. Only one random pixel sampling is provided: seed 0. This data set was used to train Gaussian Processes, Random Forest, Multilayer Perceptron and Lightweight Temporal Self-Attention models. For further details see section VI-A-1 of the pre-print article Land Cover Classification with Gaussian Processes using spatio-spectro-temporal features . This article is available here. The implementation of the models is available in the open source repository.

This page was built for dataset: Classification Data set : Land Cover Classification with Gaussian Processes using spatio-spectro-temporal features