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# BigEarthNet-19 Deep Learning Models
This repository contains code to use the BigEarthNet archive with a new class nomenclature (BigEarthNet-19) for deep learning applications. The new class nomenclature was defined by interpreting and arranging the CORINE Land Cover (CLC) Level-3 nomenclature based on the properties of Sentinel-2 images. The new class nomenclature is the product of a collaboration between the [Direção-Geral do Território](http://www.dgterritorio.pt/) in Lisbon, Portugal and the [Remote Sensing Image Analysis (RSiM)](https://www.rsim.tu-berlin.de/) group at TU Berlin, Germany.
If you use the BigEarthNet-19 or our pre-trained models, please cite the papers given below:
> G. Sumbul, J. Kang, T. Kreuziger, F. Marcelino, H. Costa, P. Benevides, M. Caetano, B. Demir, “[BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding](https://arxiv.org/pdf/2001.06372)”, CoRR, abs/2001.06372, 2020
```
@inproceedings{BigEarthNet-19,
author = {Gencer Sumbul and Jian Kang and Tristan Kreuziger and Filipe Marcelino and Hugo Costa and Pedro Benevides and Mario Caetano and Begüm Demir},
title = {BigEarthNet Deep Learning Models with A New Class-Nomenclature for Remote Sensing Image Understanding},
year = {2020},
month= {January},
archivePrefix = {arXiv},
eprint = {2001.06372},
}
```
> G. Sumbul, M. Charfuelan, B. Demir, V. Markl, “[BigEarthNet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding](http://bigearth.net/static/documents/BigEarthNet_IGARSS_2019.pdf)”, IEEE International Geoscience and Remote Sensing Symposium, pp. 5901-5904, Yokohama, Japan, 2019.
```
@inproceedings{BigEarthNet,
author = {Gencer Sumbul and Marcela Charfuelan and Begüm Demir and Volker Markl},
title = {BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding},
booktitle = {IEEE International Geoscience and Remote Sensing Symposium},
year = {2019},
pages = {5901--5904}
doi = {10.1109/IGARSS.2019.8900532},
month = {July}
}
```
If you are interested in BigEarthNet with the original CLC Level-3 class nomenclature, please check [here](https://gitlab.tu-berlin.de/rsim/bigearthnet-models/tree/master).
A paper describing the creation and evaluation of BigEarthNet-19 is currently under review and will be referenced here in the future. If you are interested in BigEarthNet with the original CLC Level-3 class nomenclature, please check [here](https://gitlab.tu-berlin.de/rsim/bigearthnet-models/tree/master).
# Pre-trained Deep Learning Models on BigEarthNet-19
We provide code and model weights for the following deep learning models that have been pre-trained on BigEarthNet with the new class nomenclature (BigEarthNet-19) for scene classification:
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