Mapping Fusion

Mapping Fusion is a data integration methodology that combines spatial or semantic mappings from multiple sensors into a unified representation by aligning heterogeneous data modalities through coordinate transformation, feature correspondence, and contextual consistency mechanisms.

10

Publications

347

Citations

48

Authors

26

Institutions

Publications per year

2017–2026

6

Authors

48

  1. WK
    Wasiq Khan

    Liverpool John Moores University, United Kingdom

    1 publications · 27 citations

    1

    h-index

  2. MT
    Michael Trentini

    Defence Research and Development Canada, Canada

    1 publications · 26 citations

    1

    h-index

  3. YG
    Yuan Guo

    Shanghai Institute of Technology, China

    1 publications · 20 citations

    1

    h-index

  4. GD
    Gamini Dissanayake

    University of Technology Sydney, Australia

    1 publications · 122 citations

    1

    h-index

  5. HW
    Henk Wymeersch

    Chalmers University of Technology, Sweden

    1 publications · 13 citations

    1

    h-index

1–5 of 48

Venues

  1. International Conference on Information Fusion

    Conference · 1 publications · 18 citations

    1

    h-index

  2. Information Fusion

    1 publications · 79 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of Applied Geophysics

    1 publications · 27 citations

    1

    h-index

  5. PubMed

    Repository · 1 publications · 17 citations

    1

    h-index

1–5