Observation Models

Observation Models is a mathematical framework that formalizes the relationship between the observable measurements and the state variables of a spacecraft or celestial body in orbit, enabling the transformation of raw observational data into usable forms for orbit determination.

558

Publications

39.9K

Citations

1.8K

Authors

713

Institutions

Publications per year

2017–2026

142

Authors

1.8K

  1. JA
    J. Andrew Royle

    United States Geological Survey, United States

    6 publications · 1.3K citations

    6

    h-index

  2. JP
    Jari P. Kaipio

    University of Eastern Finland, Finland

    4 publications · 199 citations

    4

    h-index

  3. JM
    José M. F. Moura

    Carnegie Mellon University, United States

    4 publications · 636 citations

    4

    h-index

  4. MY
    Ming Yang

    Northwestern University, United States

    4 publications · 367 citations

    4

    h-index

  5. SK
    Soummya Kar

    Carnegie Mellon University, United States

    4 publications · 636 citations

    4

    h-index

1–5 of 1.8K

Venues

  1. IEEE Transactions on Image Processing

    15 publications · 1.5K citations

    15

    h-index

  2. arXiv (Cornell University)

    Repository · 18 publications · 808 citations

    14

    h-index

  3. Sensors

    14 publications · 513 citations

    14

    h-index

  4. IEEE Transactions on Signal Processing

    14 publications · 1.1K citations

    12

    h-index

  5. 8

    h-index

1–5