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Distributed Boosting for Cloud Detection

Abstract : The SPOT 6-7 satellite ground segment includes a systematic and automatic cloud detection step in order to feed a catalogue with a binary cloud mask and an appropriate confidence measure. In order to significantly improve the SPOT cloud detection and get rid of frequent manual re-labelings, we study a new automatic cloud detection technique that is adapted to large datasets. The proposed method is based on a modified distributed boosting algorithm. Experiments conducted using the framework Apache Spark on a SPOT 6 image database with various landscapes and cloud coverage show promising results.
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Submitted on : Thursday, January 26, 2017 - 5:52:38 PM
Last modification on : Wednesday, June 9, 2021 - 10:00:35 AM
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  • HAL Id : hal-01447350, version 1
  • OATAO : 17204


Matthieu Le Goff, Jean-Yves Tourneret, Herwig Wendt, Mathias Ortner, Marc Spigai. Distributed Boosting for Cloud Detection. International Geoscience and Remote Sensing Symposium (IGARSS 2016), Jul 2016, Beijing, China. pp. 2626-2629. ⟨hal-01447350⟩



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