Using hyperspectral imaging to identify optimal narrowband filter parameters for construction and demolition waste classification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F25%3A00380458" target="_blank" >RIV/68407700:21110/25:00380458 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/25:00380458
Result on the web
<a href="https://doi.org/10.1016/j.resconrec.2025.108123" target="_blank" >https://doi.org/10.1016/j.resconrec.2025.108123</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.resconrec.2025.108123" target="_blank" >10.1016/j.resconrec.2025.108123</a>

Result language
angličtina
Original language name
Using hyperspectral imaging to identify optimal narrowband filter parameters for construction and demolition waste classification
Original language description
Hyperspectral imaging (HSI) is widely applied in various industries, enabling detailed analysis of material properties or composition through their spectral signatures. However, for classification of construction and demolition waste (CDW) materials, HSI is impractical since real-time sorting requires rapid data acquisition and lightweight classification. Instead, fitting selected narrowband filters onto standard cameras can achieve comparable results with substantially reduced computational overhead. In this study, reflectance data of common CDW materials were recorded using a hyperspectral camera, and a multilayer perceptron classifier was employed to evaluate different feature sets. The findings indicate that adding only two wavelengths beyond the RGB channels is sufficient for high-accuracy classification, with optimal filter central wavelengths identified at approximately 650-750 nm and 850-1000 nm across the tested bandwidths (5-50 nm) highlighting the importance of near-infrared regions for material discrimination.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering

Project
<a href="/en/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotics and advanced industrial production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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