Multisensor Feature Fusion

Multisensor Feature Fusion is a feature-level fusion technique that integrates complementary and discriminative features extracted from multiple heterogeneous sensors to enhance representation richness and classification accuracy in multimodal data analysis.

703

Publications

38.9K

Citations

2.6K

Authors

797

Institutions

Publications per year

2017–2026

498

Authors

2.6K

  1. PG
    Pedram Ghamisi

    Helmholtz-Zentrum Dresden-Rossendorf, Germany

    9 publications · 660 citations

    9

    h-index

  2. EB
    Erik Blasch

    United States Air Force Research Laboratory, United States

    7 publications · 323 citations

    7

    h-index

  3. FF
    Francesco Fioranelli

    University of Glasgow, United Kingdom

    6 publications · 235 citations

    6

    h-index

  4. JL
    Julien Le Kernec

    University of Glasgow, United Kingdom

    6 publications · 235 citations

    6

    h-index

  5. LJ
    Licheng Jiao

    Xidian University, China

    5 publications · 215 citations

    5

    h-index

1–5 of 2.6K

Venues

  1. Sensors

    28 publications · 1.6K citations

    22

    h-index

  2. 21

    h-index

  3. Information Fusion

    20 publications · 2K citations

    17

    h-index

  4. IEEE Access

    18 publications · 713 citations

    16

    h-index

  5. IEEE Sensors Journal

    15 publications · 562 citations

    14

    h-index

1–5