Deepcloud - A Fully Convolutionnal Neural Network for Cloud and Shadow Masking in Optical Satellite Images

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Many cloud and shadow detection methods have been proposed already, but improvements can be made on accuracy or automation. In this study, we propose a Fully Convolutional Network model for the detection of clouds and shadows in optical satellite images. The proposed model was trained on 165 Landsat images in Finland, and tested on an independent set of images. The cloud and shadow detection accuracy reached 95%, outperforming both quantitatively and qualitatively a selection of other deep learning architectures.
Original languageEnglish
Title of host publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages2107-2110
Number of pages4
ISBN (Electronic)978-1-5386-7150-4 , 978-1-5386-7149-8
ISBN (Print)978-1-5386-7151-1
DOIs
Publication statusPublished - 5 Nov 2018
MoE publication typeNot Eligible
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain
Duration: 22 Jul 201827 Jul 2018

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Abbreviated titleIGARSS
CountrySpain
CityValencia
Period22/07/1827/07/18

Fingerprint

detection method
automation
Landsat
learning
satellite image
detection

Keywords

  • Remote sensing
  • Clouds
  • Satellites
  • Artificial satellites
  • Earth
  • Optical imaging
  • Cloud and shadow masking
  • optical images
  • deep learning
  • fully convolutional network
  • Landsat

Cite this

Molinier, M., Reunanen, N., Lämsä, A., Astola, H., & Räty, T. (2018). Deepcloud - A Fully Convolutionnal Neural Network for Cloud and Shadow Masking in Optical Satellite Images. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (pp. 2107-2110). [8517484] Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/IGARSS.2018.8517484
Molinier, Matthieu ; Reunanen, Niko ; Lämsä, Arttu ; Astola, Heikki ; Räty, Tomi. / Deepcloud - A Fully Convolutionnal Neural Network for Cloud and Shadow Masking in Optical Satellite Images. 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronic Engineers IEEE, 2018. pp. 2107-2110
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Molinier, M, Reunanen, N, Lämsä, A, Astola, H & Räty, T 2018, Deepcloud - A Fully Convolutionnal Neural Network for Cloud and Shadow Masking in Optical Satellite Images. in 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings., 8517484, Institute of Electrical and Electronic Engineers IEEE, pp. 2107-2110, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, 22/07/18. https://doi.org/10.1109/IGARSS.2018.8517484

Deepcloud - A Fully Convolutionnal Neural Network for Cloud and Shadow Masking in Optical Satellite Images. / Molinier, Matthieu; Reunanen, Niko; Lämsä, Arttu; Astola, Heikki; Räty, Tomi.

2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronic Engineers IEEE, 2018. p. 2107-2110 8517484.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Molinier M, Reunanen N, Lämsä A, Astola H, Räty T. Deepcloud - A Fully Convolutionnal Neural Network for Cloud and Shadow Masking in Optical Satellite Images. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronic Engineers IEEE. 2018. p. 2107-2110. 8517484 https://doi.org/10.1109/IGARSS.2018.8517484