Search for dissertations about: "urval av träningsdata"

Found 2 swedish dissertations containing the words urval av träningsdata.

  2. 1. Deep Learning for Wildfire Progression Monitoring Using SAR and Optical Satellite Image Time Series

    Author : Puzhao Zhang; Yifang Ban; Lorenzo Burzzone; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Remote Sensing; Deep Learning; Wildfire; Burned Area Mapping; Synthetic Aperture Radar; Change Detection; Segmentation; Optical and Radar Image Analysis; Sentinel-1; Sentinel-2; fjärranalys; djup inlärning; skogsbrand; kartläggning av brända områden; Synthetic Aperture Radar; upptäckt av förändringar; segmentering; analys av optiska och radarbilder; Sentinel-1; Sentinel-2; Geoinformatik; Geoinformatics;

    Abstract : Wildfires have coexisted with human societies for more than 350 million years, always playing an important role in affecting the Earth's surface and climate. Across the globe, wildfires are becoming larger, more frequent, and longer-duration, and tend to be more destructive both in lives lost and economic costs, because of climate change and human activities. READ MORE

  4. 2. Computational and spatial analyses of rooftops for urban solar energy planning

    Author : Mohammad Aslani; Stefan Seipel; S. Anders Brandt; Julia Åhlén; Alison Jane Heppenstall; Högskolan i Gävle; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Machine learning; Classification; Segmentation; Support vector machines; Instance selection; Rooftop plane segmentation; Photovoltaic panels; Utiliz-able rooftop areas; Geoinformatics; maskininlärning; klassificering; segmentering; stödvektormaskiner; urval av träningsdata; segmentering av takytor; solcellspaneler; utnyttjande av takytor; geoinformatik; Hållbar stadsutveckling; Sustainable Urban Development;

    Abstract : In cities where land availability is limited, rooftop photovoltaic panels (RPVs) offer high potential for satisfying concentrated urban energy demand by using only rooftop areas. However, accurate estimation of RPVs potential in relation to their spatial distribution is indispensable for successful energy planning. READ MORE