Spectral Unmixing

Spectral Unmixing is a computational method in spectral analysis that decomposes a mixed spectral signal into its constituent pure spectral components, or endmembers, and estimates their proportional abundances within each observation.

1.5K

Publications

95.1K

Citations

3.5K

Authors

1.2K

Institutions

Publications per year

2017–2026

573

Authors

3.5K

  1. AP
    Antonio Plaza

    Universidad de Extremadura, Spain

    102 publications · 11.4K citations

    44

    h-index

  2. JM
    José M. Bioucas‐Dias

    Instituto de Telecomunicações, Portugal

    42 publications · 11.9K citations

    31

    h-index

  3. JC
    Jocelyn Chanussot

    Institut polytechnique de Grenoble, France

    42 publications · 5.2K citations

    29

    h-index

  4. JL
    Jun Li

    Sun Yat-sen University, China

    31 publications · 2.5K citations

    25

    h-index

  5. ND
    Nicolas Dobigeon

    Institut National Polytechnique de Toulouse, France

    29 publications · 5.8K citations

    24

    h-index

1–5 of 3.5K

Venues

  1. IEEE Transactions on Geoscience and Remote Sensing

    255 publications · 26.3K citations

    79

    h-index

  2. 39

    h-index

  3. Remote Sensing of Environment

    42 publications · 7.2K citations

    37

    h-index

  4. IEEE Geoscience and Remote Sensing Letters

    GRSL · 83 publications · 3.3K citations

    32

    h-index

  5. Remote Sensing

    87 publications · 2.6K citations

    30

    h-index

1–5