Hyperspectral Density Estimation
Hyperspectral Density Estimation is a stand density estimation method that utilizes hyperspectral imaging data to differentiate and quantify vegetation density through species-specific spectral signatures.
17
Publications
651
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69
Authors
32
Institutions
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2017–2026
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Parents
17
Hyperspectral image segmentation with Markov chain model
G. Mercier, Stéphane Derrode, Marc Lennon · 2004 · 34 citations
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Ames Research Center
Mountain View, United States
2 h-index
4 publications
122 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
116 citations
University of Trás-os-Montes and Alto Douro
Vila Real, Portugal
2 h-index
12 publications
342 citations
Institut Fresnel
Marseille, France
1 h-index
1 publications
34 citations
Wageningen University & Research
Wageningen, The Netherlands
1 h-index
2 publications
254 citations
FPInnovations
Pointe-Claire, Canada
1 h-index
3 publications
48 citations

Parc Científic de la Universitat de València
Paterna, Spain
1 h-index
1 publications
127 citations
Kyushu University
Fukuoka, Japan
1 h-index
2 publications
22 citations
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4 publications · 203 citations
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2 publications · 112 citations
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2 publications · 58 citations
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1 publications · 20 citations
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Repository · 1 publications · 16 citations
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