EOD: The IEEE GRSS Earth Observation Database

• URL: http://arxiv.org/abs/2209.12480v1
• Date: Mon, 26 Sep 2022 07:44:41 GMT
• Title: EOD: The IEEE GRSS Earth Observation Database
• Authors: Michael Schmitt, Pedram Ghamisi, Naoto Yokoya, Ronny H\"ansch
• Abstract summary: In the era of deep learning, annotated datasets have become a crucial asset to the remote sensing community. EOD is an interactive online platform for cataloguing different types of datasets leveraging remote sensing imagery.
• Score: 21.824996070545616
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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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