Multispectral Disease Detection
Multispectral Disease Detection is a diagnostic framework that integrates reflectance or emission data from multiple non-overlapping spectral bands to enhance the identification and characterization of pathological conditions, distinguishing itself from conventional single-spectrum approaches by leveraging spectral signature variations across wavelengths for improved disease specificity and sensitivity.
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1.2K
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86
Authors
40
Institutions
Publications per year
2017–2026
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T. Poblete, C. Camino, Pieter S. A. Beck et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2020 · 110 citations · Full text
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Ministry of Agriculture and Rural Affairs
Beijing, China
2 h-index
9 publications
582 citations

Zhejiang University
Hangzhou, China
2 h-index
11 publications
664 citations
KU Leuven
Leuven, Belgium
1 h-index
3 publications
675 citations

Swansea University
Swansea, United Kingdom
1 h-index
1 publications
110 citations
Fraunhofer Institute for Factory Operation and Automation
Magdeburg, Germany
1 h-index
3 publications
135 citations

The University of Melbourne
Melbourne, Australia
1 h-index
2 publications
220 citations

Xi'an Jiaotong University
Xi'an, China
1 h-index
5 publications
85 citations

University of Zimbabwe
Harare, Zimbabwe
1 h-index
1 publications
45 citations
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2 publications · 54 citations
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1 publications · 18 citations
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1 publications · 14 citations
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1 publications · 88 citations
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1 publications · 286 citations
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