Pixel-based Visualization

Pixel-Based Visualization is a remote sensing visualization technique that directly maps individual image pixels to visual elements on a display, preserving spatial resolution and enabling scalable exploration of large-scale geospatial datasets by maintaining a one-to-one correspondence between data points and visual representation.

48

Publications

2.5K

Citations

161

Authors

74

Institutions

Publications per year

2017–2026

7

Variants

Pixel-oriented Visualization

Authors

161

  1. DA
    Daniel A. Keim

    University of Konstanz, Germany

    9 publications · 723 citations

    9

    h-index

  2. MD
    Morgan Dixon

    University of Washington, United States

    3 publications · 87 citations

    3

    h-index

  3. JF
    James Fogarty

    University of Washington, United States

    3 publications · 87 citations

    3

    h-index

  4. RR
    Romain Robbes

    University of Chile, Chile

    2 publications · 25 citations

    2

    h-index

  5. HQ
    Huamin Qu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 28 citations

    2

    h-index

1–5 of 161

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 8 publications · 647 citations

    8

    h-index

  2. Journal of Computational and Graphical Statistics

    JCGS · 2 publications · 101 citations

    2

    h-index

  3. Computers & Graphics

    1 publications · 55 citations

    1

    h-index

  4. Journal of Speech Language and Hearing Research

    JSLHR · 1 publications · 29 citations

    1

    h-index

  5. ACM SIGMOD Record

    1 publications · 39 citations

    1

    h-index

1–5