论文标题

EOD:IEEE GRSS地球观察数据库

EOD: The IEEE GRSS Earth Observation Database

论文作者

Schmitt, Michael, Ghamisi, Pedram, Yokoya, Naoto, Hänsch, Ronny

论文摘要

在深度学习时代,注释的数据集已成为遥感社区的关键资产。在过去的十年中,发表了许多不同数据集,每个数据集都为特定的数据类型设计,并考虑到特定的任务或应用程序。在遥感数据集的丛林中,很难跟踪已经可用的东西。在本文中,我们介绍了EOD -IEEE GRSS Earth观察数据库(EOD) - 一个交互式在线平台,用于分类不同类型的数据集利用遥感图像。

In the era of deep learning, annotated datasets have become a crucial asset to the remote sensing community. In the last decade, a plethora of different datasets was published, each designed for a specific data type and with a specific task or application in mind. In the jungle of remote sensing datasets, it can be hard to keep track of what is available already. With this paper, we introduce EOD - the IEEE GRSS Earth Observation Database (EOD) - an interactive online platform for cataloguing different types of datasets leveraging remote sensing imagery.

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