0000000000681054

AUTHOR

U. Gangkofner

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Proba-V cloud detection Round Robin: Validation results and recommendations

2017

This paper discusses results from 12 months of a Round Robin exercise aimed at the inter-comparison of different cloud detection algorithms for Proba-V. Clouds detection is a critical issue for satellite optical remote sensing, since potential errors in cloud masking directly translates into significant uncertainty in the retrieved downstream geophysical products. Cloud detection is particularly challenging for Proba-V due to the presence of a limited number of spectral bands and the lack of thermal infrared bands. The main objective of the project was the inter-comparison of several cloud detection algorithms for Proba-V over a wide range of surface types and environmental conditions. Prob…

Signal processingPixelArtificial neural networkbusiness.industryCloud computingSpectral bandsLinear discriminant analysiscomputer.software_genreThresholdingGeographySatelliteData miningbusinesscomputerRemote sensing2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)
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