Feature Extraction Visualization

Feature Extraction Visualization is a computational method that enables the visual interpretation of salient patterns or attributes identified within remotely sensed data through algorithmic transformation and spatial representation techniques.

6

Publications

257

Citations

31

Authors

11

Institutions

Publications per year

2017–2026

4

Authors

31

  1. JA
    João Areis Ferreira Barbosa Júnior

    Universidade Federal de Goiás, Brazil

    1 publications · 30 citations

    1

    h-index

  2. GY
    Guoli Yan

    Wayne State University, United States

    1 publications · 15 citations

    1

    h-index

  3. AD
    Adriano de Oliveira Andrade

    Universidade Federal de Uberlândia, Brazil

    1 publications · 30 citations

    1

    h-index

  4. JS
    Justin Sharim

    University of California, Los Angeles, United States

    1 publications · 30 citations

    1

    h-index

  5. FP
    F.J. Post

    Delft University of Technology, Netherlands

    1 publications · 80 citations

    1

    h-index

1–5 of 31

Venues

  1. Analytica Chimica Acta

    1 publications · 88 citations

    1

    h-index

  2. BioMedical Engineering OnLine

    1 publications · 30 citations

    1

    h-index

  3. Knowledge-Based Systems

    1 publications · 25 citations

    1

    h-index

  4. Neurocomputing

    1 publications · 15 citations

    1

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 80 citations

    1

    h-index

1–5