Snow Avalanche Segmentation in SAR Images With Fully Convolutional Neural Networks

Knowledge about frequency and location of snow avalanche activity is essential for forecasting and mapping of snow avalanche hazard. Traditional field monitoring of avalanche activity has limitations, especially when surveying large and remote areas. In recent years, avalanche detection in Sentinel-...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2021-01, Vol.14, p.75-82
Hauptverfasser:	Bianchi, Filippo Maria, Grahn, Jakob, Eckerstorfer, Markus, Malnes, Eirik, Vickers, Hannah
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Avalanches Backscatter Backscattering Convolutional neural networks (CNNs) Deep learning Detection Engineering Engineering, Electrical & Electronic Geography, Physical Image processing Image segmentation Imagery Imaging Science & Photographic Technology Informasjons- og kommunikasjonsteknologi: 550 Information and communication technology: 550 Information processing Inspection Landslides Machine learning Monitoring Neural networks Peak to average power ratio Physical Geography Physical Sciences Radar Radar detection Radar imaging Radar satellites Remote Sensing saliency segmentation SAR (radar) Satellite imagery Science & Technology Sentinel-1 (S1) Signal processing Snow Snow avalanches Spaceborne remote sensing Surveying Synthetic aperture radar synthetic aperture radar (SAR) Technology Technology: 500 Teknologi: 500 VDP Visual inspection
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