Automatic Road Extraction from Remote Sensing Images (Q166572): Difference between revisions

From geokb
(‎Changed label, description and/or aliases in en, and other parts: removed Deep Learning from aliases; added Q169133 to addresses subject)
(‎Changed label, description and/or aliases in en, and other parts: modified description with assistance from Llama 3.1)
description / endescription / en
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
Automatically extracting road networks from satellite images using AI and high-resolution photography.

Revision as of 13:07, 30 August 2024

Automatically extracting road networks from satellite images using AI and high-resolution photography.
  • Road Extraction
  • High-Resolution Imagery
  • GIS Update
  • Aerial Images
  • GPS Traces
  • Urban Road Networks
  • SAR Imagery
  • Map Inference
Language Label Description Also known as
English
Automatic Road Extraction from Remote Sensing Images
Automatically extracting road networks from satellite images using AI and high-resolution photography.
  • Road Extraction
  • High-Resolution Imagery
  • GIS Update
  • Aerial Images
  • GPS Traces
  • Urban Road Networks
  • SAR Imagery
  • Map Inference

Statements