eurosat-rgb

# EuroSat (RGB)

## Description

A dataset based on Sentinel-2 satellite images covering 13 spectral bands and consisting of 10 classes with 27000 labeled and geo-referenced samples. This is the RGB version of the dataset with visible bands encoded as JPEG images.

The dataset does not have any default splits. Train, validation, and test splits were based on these definitions here https://github.com/google-research/google-research/blob/master/remote_sensing_representations/README.md#dataset-splits

* Website: https://github.com/phelber/eurosat
* Paper: https://arxiv.org/abs/1709.00029

## Citation
```bibtext
@article{helber2019eurosat,
title={Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification},
author={Helber, Patrick and Bischke, Benjamin and Dengel, Andreas and Borth, Damian},
journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
year={2019},
publisher={IEEE}
}
```

# EuroSat（RGB版本）

## 描述
本数据集基于哨兵二号（Sentinel-2）卫星影像构建，涵盖13个光谱波段，包含10个类别，共计27000个已标注且带有地理参考信息的样本。本数据集为该数据集的RGB版本，其可见光波段以JPEG图像格式编码存储。

本数据集未预设默认的数据划分方式，训练集、验证集与测试集的划分遵循下述链接中的定义：https://github.com/google-research/google-research/blob/master/remote_sensing_representations/README.md#dataset-splits

* 项目主页：https://github.com/phelber/eurosat
* 相关学术论文：https://arxiv.org/abs/1709.00029

## 引用
bibtext
@article{helber2019eurosat,
title={EuroSat：一种面向土地利用与土地覆盖分类的新型数据集及深度学习基准测试集},
author={Helber, Patrick and Bischke, Benjamin and Dengel, Andreas and Borth, Damian},
journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
year={2019},
publisher={IEEE}
}