Map Compression

Map Compression is a computational method in cartographic representation that reduces the complexity or data size of geographic maps while preserving essential spatial features and relationships for efficient storage, transmission, or visualization.

68

Publications

2K

Citations

237

Authors

99

Institutions

Publications per year

2017–2026

15

Authors

237

  1. PF
    Pasi Fränti

    University of Eastern Finland, Finland

    5 publications · 125 citations

    5

    h-index

  2. PK
    P. Kopylov

    Joensuu Science Park, Finland

    3 publications · 66 citations

    3

    h-index

  3. SS
    Sriram Sethuraman

    Amazon (United States), United States

    2 publications · 118 citations

    2

    h-index

  4. SM
    Stéphane Mallat

    École Polytechnique, France

    2 publications · 205 citations

    2

    h-index

  5. HM
    Hiroshi Masuda

    University of Electro-Communications, Japan

    2 publications · 36 citations

    2

    h-index

1–5 of 237

Venues

  1. The Visual Computer

    2 publications · 107 citations

    2

    h-index

  2. Multimedia Tools and Applications

    2 publications · 50 citations

    2

    h-index

  3. 2

    h-index

  4. IEEE Transactions on Image Processing

    2 publications · 68 citations

    2

    h-index

  5. 1

    h-index

1–5