# Automated Road and Building Extraction

{
  "id": "T13282",
  "title": "Automated Road and Building Extraction",
  "url": "/topics/T13282",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "fb312e1e2b03da10",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "38351553060538033",
  "address_version": "morton4x16-v1",
  "coordinates": [
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    13282
  ],
  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
}

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.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T13282

No owner-reviewed local answer yet.