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Deep learning for cloud detection

Le Goff, Matthieu and Tourneret, Jean-Yves and Wendt, Herwig and Ortner, Mathias and Spigai, Marc Deep learning for cloud detection. (2017) In: ICPRS (8th International Conference of Pattern Recognition Systems), 11 July 2017 - 13 July 2017 (Madrid, Spain).

(Document in English)

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Official URL: http://dx.doi.org/10.1049/cp.2017.0139


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 condence measure. However, current approaches for cloud detection, that are mostly based on machine learning and hand crafted features, have shown lack of robustness. In other tasks such as image recognition, deep learning methods have shown outstanding results outperforming many state-of-the-art methods. These methods are known to produce a powerful representation that can capture texture, shape and contextual information. This paper studies the potential of deep learning methods for cloud detection in order to achieve state-of-the-art performance. A comparison between deep learning methods used with classical handcrafted features and classical convolutional neural networks is performed for cloud detection. Experiments are conducted on a SPOT 6 image database with various landscapes and cloud coverage and show promising results.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IET Digital Library editor. The definitive version is available at : http://digital-library.theiet.org/content/conferences/10.1049/cp.2017.0139
HAL Id:hal-01783857
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > IRT Saint Exupéry - Institut de Recherche Technologique (FRANCE)
Laboratory name:
Deposited On:02 May 2018 15:24

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