Mosaic Generation

Mosaic Generation is a raster data processing method that integrates multiple adjacent or overlapping raster datasets into a single, spatially continuous dataset by resolving radiometric and geometric discrepancies at their boundaries.

221

Publications

11.1K

Citations

760

Authors

288

Institutions

Publications per year

2017–2026

44

Variants

Mosaicking

Authors

760

  1. JG
    John Good

    California Institute of Technology, United States

    8 publications · 598 citations

    8

    h-index

  2. TA
    Thomas A. Prince

    California Institute of Technology, United States

    7 publications · 559 citations

    7

    h-index

  3. DS
    Daniel S. Katz

    University of Illinois Urbana-Champaign, United States

    7 publications · 559 citations

    7

    h-index

  4. CK
    Carl Kesselman

    University of Southern California, United States

    6 publications · 546 citations

    6

    h-index

  5. GB
    G. Bruce Berriman

    California Institute of Technology, United States

    6 publications · 471 citations

    6

    h-index

1–5 of 760

Venues

  1. 10

    h-index

  2. International Journal of Remote Sensing

    7 publications · 181 citations

    7

    h-index

  3. 6

    h-index

  4. Multimedia Tools and Applications

    5 publications · 99 citations

    5

    h-index

  5. IEEE Transactions on Image Processing

    5 publications · 236 citations

    5

    h-index

1–5