Infrastructure Change Detection

Infrastructure Change Detection is a computational method that identifies temporal alterations in physical or digital infrastructure systems by analyzing multi-temporal observational data to distinguish modified from unchanged structural states.

15

Publications

1.2K

Citations

58

Authors

32

Institutions

Publications per year

2017–2026

9

Authors

58

  1. MA
    Martin A. Kayser

    Miami University, United States

    1 publications · 86 citations

    1

    h-index

  2. GP
    Gianvito Pio

    University of Bari Aldo Moro, Italy

    1 publications · 49 citations

    1

    h-index

  3. SG
    Santiago Grijalva

    Georgia Institute of Technology, United States

    1 publications · 105 citations

    1

    h-index

  4. AC
    Arthur Carvalho

    Miami University, United States

    1 publications · 86 citations

    1

    h-index

  5. MK
    Martin Karrenbach

    Stanford University, United States

    1 publications · 42 citations

    1

    h-index

1–5 of 58

Venues

  1. Remote Sensing of Environment

    2 publications · 652 citations

    2

    h-index

  2. Procedia Engineering

    1 publications · 14 citations

    1

    h-index

  3. Structural Safety

    1 publications · 21 citations

    1

    h-index

  4. Environmental Impact Assessment Review

    1 publications · 22 citations

    1

    h-index

  5. IEEE/CAA Journal of Automatica Sinica

    1 publications · 90 citations

    1

    h-index

1–5