Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding

@article{Sumbul2019BigearthnetAL,
  title={Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding},
  author={Gencer Sumbul and Marcela Charfuelan and Beg{\"u}m Demir and Volker Markl},
  journal={IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium},
  year={2019},
  pages={5901-5904}
}
  • Gencer Sumbul, Marcela Charfuelan, +1 author Volker Markl
  • Published 2019
  • Computer Science
  • IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
  • This paper presents the BigEarthNet that is a new large-scale multi-label Sentinel-2 benchmark archive. The BigEarthNet consists of 590, 326 Sentinel-2 image patches, each of which is a section of i) 120 × 120 pixels for 10m bands; ii) 60×60 pixels for 20m bands; and iii) 20×20 pixels for 60m bands. Unlike most of the existing archives, each image patch is annotated by multiple land-cover classes (i.e., multi-labels) that are provided from the CORINE Land Cover database of the year 2018 (CLC… CONTINUE READING

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