English

EOD: The IEEE GRSS Earth Observation Database

Computer Vision and Pattern Recognition 2022-09-27 v1

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.

Keywords

Cite

@article{arxiv.2209.12480,
  title  = {EOD: The IEEE GRSS Earth Observation Database},
  author = {Michael Schmitt and Pedram Ghamisi and Naoto Yokoya and Ronny Hänsch},
  journal= {arXiv preprint arXiv:2209.12480},
  year   = {2022}
}

Comments

This paper contains the description of the IEEE-GRSS Earth Observation Database

R2 v1 2026-06-28T02:04:52.135Z