Deep learning for anchor detection in multi-scale maps

HIGHLIGHTS

  • who: Quentin Potie from the Univ Gustave Eiffel, IGN-ENSG, Champs-sur-Marne, FranceUniversity of have published the article: Deep learning for anchor detection in multi-scale maps, in the Journal: (JOURNAL)
  • what: The research explores how the authors can detect potential multi-scale anchors to make them more distinct and memorable in maps with different levels of detail, and thus make the zooming process more fluid and intuitive. In the future experiments the authors propose to adjust the protocol to better take into account the two mains properties of multi-scale anchors which are . . .

     

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