Remote Sensing Analysis for Urban Research at Scale
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Download File: https://dortmund.media.ccc.de//events/foss4g2019/h264-hd/bucharest-116-eng-Remote_Sensing_Analysis_for_Urban_Research_at_Scale_hd.mp4Download File: https://mirror.netcologne.de/CCC//events/foss4g2019/webm-hd/bucharest-116-eng-Remote_Sensing_Analysis_for_Urban_Research_at_Scale_webm-hd.webmDownload File: https://ffmuc.media.ccc.de//events/foss4g2019/h264-sd/bucharest-116-eng-Remote_Sensing_Analysis_for_Urban_Research_at_Scale_sd.mp4Download File: https://mirror.netcologne.de/CCC//events/foss4g2019/webm-sd/bucharest-116-eng-Remote_Sensing_Analysis_for_Urban_Research_at_Scale_webm-sd.webm00:00
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Image classification of urbanization processes require reference data either for training or for validation. However, there is scarcity of reference labeled datasets specifically to detect urban areas. In this talk, I will present three approaches for collection of open-source reference data that mark built-up areas.
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