Object-based Multiscale Analysis

Object-Based Multiscale Analysis is a multiscale analysis approach that identifies and examines discrete spatial entities across different scales, distinguishing itself from pixel- or point-based methods by focusing on homogeneous image segments as the fundamental units of analysis.

25

Publications

1.8K

Citations

89

Authors

42

Institutions

Publications per year

2017–2026

7

Variants

Obma

Authors

89

  1. GJ
    Geoffrey J. Hay

    University of Calgary, Canada

    5 publications · 963 citations

    5

    h-index

  2. TB
    Thomas Blaschke

    University of Salzburg, Austria

    4 publications · 519 citations

    4

    h-index

  3. SL
    Stefan Lang

    University of Salzburg, Austria

    2 publications · 61 citations

    2

    h-index

  4. SD
    Sebastian d’Oleire-Oltmanns

    Goethe University Frankfurt, Germany

    2 publications · 75 citations

    2

    h-index

  5. SM
    Stephen M. Pizer

    University of North Carolina at Chapel Hill, United States

    2 publications · 81 citations

    2

    h-index

1–5 of 89

Venues

  1. International Journal of Remote Sensing

    5 publications · 178 citations

    5

    h-index

  2. 3

    h-index

  3. IEEE Geoscience and Remote Sensing Letters

    GRSL · 2 publications · 78 citations

    2

    h-index

  4. Journal of Applied Remote Sensing

    JARS · 1 publications · 12 citations

    1

    h-index

  5. Canadian Journal of Remote Sensing

    1 publications · 103 citations

    1

    h-index

1–5