Feature Extraction Visualization
Feature Extraction Visualization is a computational method that enables the visual interpretation of salient patterns or attributes identified within remotely sensed data through algorithmic transformation and spatial representation techniques.
6
Publications
257
Citations
31
Authors
11
Institutions
Publications per year
2017–2026
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Parents
6
Feature extraction and iconic visualization
Theo van Walsum, Frits H. Post, D. Silver et al. · IEEE Transactions on Visualization and Computer Graphics · 1996 · 80 citations
Alessandro R. P. Machado, Hudson Capanema Zaidan, Ana Paula Sousa Paixão Barroso da Silva et al. · BioMedical Engineering OnLine · 2016 · 30 citations · Full text
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Universidade Federal de Goiás, Brazil
1 publications · 30 citations
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1–5 of 31
11
Hamamatsu Photonics (Japan)
Hamamatsu, Japan
1 h-index
4 publications
352 citations
Leiden University
Leiden, The Netherlands
1 h-index
1 publications
80 citations
Universidade Federal de Uberlândia
Uberlândia, Brazil
1 h-index
10 publications
300 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
1 publications
80 citations
Zhejiang Gongshang University
Hangzhou, China
1 h-index
3 publications
45 citations

Harbin Institute of Technology
Harbin, China
1 h-index
1 publications
15 citations
Chang'an University
Xi'an, China
1 h-index
2 publications
50 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
5 publications
150 citations
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1 publications · 88 citations
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1 publications · 30 citations
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1 publications · 25 citations
1
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1 publications · 15 citations
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TVCG · 1 publications · 80 citations
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