Distributed Boosting For Cloud Detection
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)(2016)
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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Key words
Cloud detection,remote sensing,big data,distributed processing,boosting
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