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Automated Road and Building Extraction

Automated Road and Building Extraction is a research topic within Ocean Engineering. Science Explorer counts 7.9k research works in it since 1966. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the automatic extraction of road networks from remote sensing images, utilizing techniques such as deep learning, high-resolution imagery, and GPS traces. The research covers areas such as GIS update, aerial images, urban road networks, and map inference, with a particular emphasis on the application of these methods to road extraction.

  • Road Extraction
  • Remote Sensing
  • Deep Learning
  • High-Resolution Imagery
  • GIS Update
  • Aerial Images
  • GPS Traces
  • Urban Road Networks
  • SAR Imagery
  • Map Inference
Research works
7.9k
fractional, since 1966
In the world top 10%
784
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+52%
the tick is no change
Largest producer
China
63% of the 10 largest, 2022-now
Automated Road and Building Extraction
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