Raster Classification
Raster Classification is a raster modeling method that partitions continuous or categorical raster data into distinct thematic classes based on spectral, spatial, or temporal attributes, enabling the interpretation and analysis of geographic phenomena.
6
Publications
225
Citations
23
Authors
15
Institutions
Publications per year
2017–2026
4
Parents
6
GuidosToolbox Workbench: spatial analysis of raster maps for ecological applications
Peter Vogt, Kurt H. Riitters, Pierrick Rambaud et al. · Ecography · 2022 · 36 citations · Full text
Computing, Ecology, Geoinformatics +15
Toward the Vectorization of Hyperspectral Imagery
Leyuan Fang, Yinglong Yan, Jun Yue et al. · IEEE Transactions on Geoscience and Remote Sensing · 2023 · 28 citations
1–5 of 6
23
1
h-index
Food and Agriculture Organization of the United Nations, Italy
1 publications · 36 citations
1
h-index
1
h-index
1
h-index
Food and Agriculture Organization of the United Nations, Italy
1 publications · 36 citations
1
h-index
1–5 of 23
15

Xidian University
Xi'an, China
1 h-index
1 publications
28 citations
Queensland Department of Environment and Science
Brisbane, Australia
1 h-index
2 publications
144 citations
Environmental Earth Sciences
Sydney, Australia
1 h-index
1 publications
72 citations

Aberystwyth University
Aberystwyth, United Kingdom
1 h-index
1 publications
72 citations
Manaaki Whenua – Landcare Research
Lincoln, New Zealand
1 h-index
3 publications
216 citations
RMIT University
Melbourne, Australia
1 h-index
3 publications
180 citations

UNSW Sydney
Sydney, Australia
1 h-index
1 publications
72 citations
University of Southern California
Los Angeles, United States
1 h-index
2 publications
144 citations
1–8 of 15
1 publications · 36 citations
1
h-index
1 publications · 72 citations
1
h-index
1 publications · 28 citations
1
h-index
1 publications · 16 citations
1
h-index
1 publications · 60 citations
1
h-index
1–5