Observation Data Processing

Observation Data Processing is a computational methodology within Global Navigation Satellite System surveying that transforms raw satellite signal measurements into refined positional and temporal data through the application of mathematical models, error correction algorithms, and statistical filtering techniques.

371

Publications

29.3K

Citations

1.5K

Authors

538

Institutions

Publications per year

2017–2026

149

Variants

Gnss Data Processing

Authors

1.5K

  1. AS
    Andreia Siqueira

    Geoscience Australia, Australia

    3 publications · 83 citations

    3

    h-index

  2. JJ
    James J. Butler

    United States Geological Survey, United States

    3 publications · 51 citations

    3

    h-index

  3. YK
    Yoshiya Kasahara

    Kanazawa University, Japan

    3 publications · 228 citations

    3

    h-index

  4. PK
    Pradeep Khatri

    Chiba University, Japan

    3 publications · 179 citations

    3

    h-index

  5. YH
    Yuki Hatanaka

    Geospatial Information Authority of Japan, Japan

    3 publications · 98 citations

    3

    h-index

1–5 of 1.5K

Venues

  1. Remote Sensing

    11 publications · 229 citations

    11

    h-index

  2. 11

    h-index

  3. Acta Astronautica

    7 publications · 249 citations

    7

    h-index

  4. Remote Sensing of Environment

    5 publications · 564 citations

    5

    h-index

  5. Sensors

    5 publications · 147 citations

    5

    h-index

1–5