Multi-source Data Integration

Multi-Source Data Integration is a geodetic data processing framework that combines heterogeneous spatial observations from multiple independent measurement systems or sensors to enhance the accuracy, reliability, and completeness of georeferenced information within a unified reference frame.

568

Publications

24.2K

Citations

2.7K

Authors

807

Institutions

Publications per year

2017–2026

468

Variants

Multisource Data Integration

Authors

2.7K

  1. LS
    Lü Su

    University at Buffalo, State University of New York, United States

    5 publications · 266 citations

    5

    h-index

  2. JG
    Jing Gao

    University at Buffalo, State University of New York, United States

    5 publications · 266 citations

    5

    h-index

  3. QC
    Qiang Cao

    Nanjing Agricultural University, China

    3 publications · 73 citations

    3

    h-index

  4. WC
    Weixing Cao

    Nanjing Agricultural University, China

    3 publications · 73 citations

    3

    h-index

  5. XL
    Xiaojun Liu

    Nanjing Agricultural University, China

    3 publications · 73 citations

    3

    h-index

1–5 of 2.7K

Venues

  1. Remote Sensing

    43 publications · 1.8K citations

    25

    h-index

  2. Sustainability

    11 publications · 269 citations

    11

    h-index

  3. IEEE Access

    9 publications · 326 citations

    11

    h-index

  4. Ecological Indicators

    9 publications · 383 citations

    10

    h-index

  5. ISPRS International Journal of Geo-Information

    IJGI · 10 publications · 350 citations

    10

    h-index

1–5