TY - JOUR
T1 - A comparison of ground-based hyperspectral imaging and red-edge multispectral imaging for façade material classification
AU - Zahiri, Zohreh
AU - Laefer, Debra F.
AU - Kurz, Tobias
AU - Buckley, Simon
AU - Gowen, Aoife
N1 - Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/4
Y1 - 2022/4
N2 - This paper compares the feasibility of classifying building façade materials in situ via a low-cost multispectral imaging camera with 5 bands compared to a high-cost, short-wave infrared hyperspectral unit with 240 bands. The sensors were used to classify five common façade materials: brick, mortar, stone, painted window frames, and rendering. The data were subjected to a Partial Least Squares Discriminant Analysis by selecting 95 training pixels and 65 validation pixels for each material. Across all materials, the hyperspectral imaging demonstrated a moderate advantage over multispectral imaging (with a correct classification rate of 99% versus 80%) for the selected data and stronger qualitative matching to the entire façade. While the hyperspectral data were consistently superior, the multispectral data still produced valuable results, thereby demonstrating potential as a fast, easy, and much cheaper technology compared to hyperspectral units for in situ façade materials classification.
AB - This paper compares the feasibility of classifying building façade materials in situ via a low-cost multispectral imaging camera with 5 bands compared to a high-cost, short-wave infrared hyperspectral unit with 240 bands. The sensors were used to classify five common façade materials: brick, mortar, stone, painted window frames, and rendering. The data were subjected to a Partial Least Squares Discriminant Analysis by selecting 95 training pixels and 65 validation pixels for each material. Across all materials, the hyperspectral imaging demonstrated a moderate advantage over multispectral imaging (with a correct classification rate of 99% versus 80%) for the selected data and stronger qualitative matching to the entire façade. While the hyperspectral data were consistently superior, the multispectral data still produced valuable results, thereby demonstrating potential as a fast, easy, and much cheaper technology compared to hyperspectral units for in situ façade materials classification.
KW - Building information modelling
KW - Building materials
KW - Facade inspection
KW - Hyperspectral imaging
KW - Multispectral imaging
KW - Non-destructive testing
KW - Short-wave infrared
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U2 - 10.1016/j.autcon.2022.104164
DO - 10.1016/j.autcon.2022.104164
M3 - Article
AN - SCOPUS:85125173423
SN - 0926-5805
VL - 136
JO - Automation in Construction
JF - Automation in Construction
M1 - 104164
ER -