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UID:pretalx-foss4g-2024-KMCYZN@talks.staging.osgeo.org
DTSTART;TZID=-03:20241205T104500
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DESCRIPTION:This presentation introduces an innovative project designed to 
 enhance the precision of urban nuclei mapping using advanced artificial in
 telligence techniques. The focus is on improving the urban nuclei layer ma
 naged by the Institut Cartogràfic i Geològic de Catalunya (ICGC) through
  the application of convolutional neural networks (CNNs). The project invo
 lves training a CNN model on a curated collection of images featuring dive
 rse urban nuclei. This training process enables the model to learn intrica
 te patterns and characteristics unique to urban areas. Once the model is a
 dequately trained\, it can autonomously detect and categorize urban nuclei
  in new images with high accuracy.
DTSTAMP:20260516T232936Z
LOCATION:Room I
SUMMARY:Enhancing Geographic Data Accuracy: Convolutional Neural Networks i
 n Urban Mapping - Lia Bertran Roca
URL:https://talks.staging.osgeo.org/foss4g-2024/talk/KMCYZN/
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