Thermal Data Fusion

Thermal Data Fusion is a data integration methodology that combines thermal remote sensing observations from multiple sources or modalities to enhance spatial, temporal, or radiometric resolution beyond the capabilities of individual inputs.

101

Publications

5.6K

Citations

344

Authors

165

Institutions

Publications per year

2017–2026

57

Authors

344

  1. JT
    Jin Tang

    Anhui University, China

    4 publications · 366 citations

    4

    h-index

  2. CL
    Chenglong Li

    Anhui University, China

    4 publications · 366 citations

    4

    h-index

  3. XW
    Xiao Wang

    Anhui University, China

    3 publications · 200 citations

    3

    h-index

  4. SG
    Seong G. Kong

    Sejong University, South Korea

    3 publications · 161 citations

    3

    h-index

  5. MN
    Mita Nasipuri

    Jadavpur University, India

    3 publications · 53 citations

    3

    h-index

1–5 of 344

Venues

  1. Remote Sensing

    5 publications · 254 citations

    5

    h-index

  2. Sensors

    5 publications · 96 citations

    5

    h-index

  3. 4

    h-index

  4. Infrared Physics & Technology

    2 publications · 50 citations

    2

    h-index

  5. Remote Sensing of Environment

    2 publications · 174 citations

    2

    h-index

1–5