Image Source Selection

Image Source Selection is a methodological framework within flexible media that determines the optimal origin of visual data for a given task by evaluating and prioritizing potential image sources based on criteria such as quality, relevance, accessibility, and compatibility with target applications.

15

Publications

672

Citations

59

Authors

38

Institutions

Publications per year

2017–2026

6

Authors

59

  1. AL
    Arjan L. Mieremet

    Cosine (Netherlands), Netherlands

    1 publications · 19 citations

    1

    h-index

  2. BK
    B.J. Kwon

    Seoul National University, South Korea

    1 publications · 12 citations

    1

    h-index

  3. DP
    Dale Purves

    Duke University, United States

    1 publications · 117 citations

    1

    h-index

  4. ND
    Naser Damer

    Fraunhofer Institute for Computer Graphics Research, Germany

    1 publications · 42 citations

    1

    h-index

  5. MA
    Megan A. Vendemia

    The Ohio State University, United States

    1 publications · 119 citations

    1

    h-index

1–5 of 59

Venues

  1. IEEE Transactions on Nuclear Science

    1 publications · 17 citations

    1

    h-index

  2. Forensic Science International

    1 publications · 19 citations

    1

    h-index

  3. Remote Sensing

    1 publications · 21 citations

    1

    h-index

  4. Journal of Imaging

    1 publications · 13 citations

    1

    h-index

  5. Clinical Radiology

    1 publications · 12 citations

    1

    h-index

1–5