Spectral Resampling

Spectral Resampling is a signal processing technique that alters the spectral resolution or sampling grid of a hyperspectral or multispectral dataset by interpolating or aggregating spectral intensities at different wavelength intervals.

51

Publications

2.8K

Citations

143

Authors

89

Institutions

Publications per year

2017–2026

14

Authors

143

  1. MT
    Masayuki Tanaka

    Tokyo Institute of Technology, Japan

    3 publications · 158 citations

    3

    h-index

  2. MO
    Masatoshi Okutomi

    Tokyo Institute of Technology, Japan

    3 publications · 158 citations

    3

    h-index

  3. YM
    Yusuke Monno

    Tokyo Institute of Technology, Japan

    3 publications · 158 citations

    3

    h-index

  4. MK
    Matthias Kirchner

    Technische Universität Dresden, Germany

    2 publications · 253 citations

    2

    h-index

  5. LZ
    Lina Zhuang

    Chinese Academy of Sciences, China

    2 publications · 49 citations

    2

    h-index

1–5 of 143

Venues

  1. 3

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  2. 2

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  3. Publications of the Astronomical Society of the Pacific

    PASP · 1 publications · 19 citations

    1

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  4. Sustainability

    1 publications · 27 citations

    1

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  5. Computers and Electronics in Agriculture

    1 publications · 37 citations

    1

    h-index

1–5