Multi-spectral Image Analysis

Multi-Spectral Image Analysis is a methodological framework in remote sensing that enables the extraction and interpretation of surface material properties by analyzing reflected electromagnetic radiation across multiple discrete, non-contiguous spectral bands, distinguishing it from panchromatic or hyperspectral approaches through its targeted, multi-band spectral resolution.

664

Publications

32.4K

Citations

2.3K

Authors

893

Institutions

Publications per year

2017–2026

204

Authors

2.3K

  1. EF
    Emanuele Frontoni

    Marche Polytechnic University, Italy

    5 publications · 122 citations

    5

    h-index

  2. AM
    Adriano Mancini

    Marche Polytechnic University, Italy

    5 publications · 122 citations

    5

    h-index

  3. PZ
    Primo Zingaretti

    Marche Polytechnic University, Italy

    5 publications · 122 citations

    5

    h-index

  4. RS
    R. S. Gad

    Goa University, India

    4 publications · 64 citations

    4

    h-index

  5. DP
    David P. Roy

    South Dakota State University, United States

    4 publications · 422 citations

    4

    h-index

1–5 of 2.3K

Venues

  1. Remote Sensing

    51 publications · 3.1K citations

    30

    h-index

  2. International Journal of Remote Sensing

    42 publications · 2.2K citations

    26

    h-index

  3. 13

    h-index

  4. Remote Sensing of Environment

    12 publications · 976 citations

    12

    h-index

  5. Optics Express

    9 publications · 317 citations

    9

    h-index

1–5