Name
Title | ||
|---|---|---|
Hyperspectral imaging applied to demolition waste recycling: innovative approach for product quality control |
Abstract | ||
|---|---|---|
Hyperspectral imaging (HSI) based sensing devices were utilized to develop nondestructive, rapid, and low cost analytical strategies finalized to detect and characterize materials constituting demolition waste. In detail, HSI was applied for quality control of high-grade recycled aggregates obtained from end-of-life concrete. The described HSI quality control approach is based on the utilization of a platform working in the near-infrared range (1000-1700 nm). The acquired hyperspectral images were analyzed by applying different chemometric methods: principal component analysis for data exploration and partial least-square-discriminant analysis to build classification models. Results showed that it is possible to recognize the recycled aggregates from different contaminants (e.g., brick, gypsum, plastic, wood, foam, and so on), allowing the quality control of the recycled flow stream. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1117/1.JEI.24.4.043003 | JOURNAL OF ELECTRONIC IMAGING |
Keywords | Field | DocType |
concrete aggregates,demolition waste,recycling,hyperspectral imaging,quality control | Process engineering,Pattern recognition,Data exploration,Computer science,Hyperspectral imaging,Demolition waste,Artificial intelligence,Brick,Principal component analysis | Journal |
Volume | Issue | ISSN |
24 | 4 | 1017-9909 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Silvia Serranti | 1 | 2 | 3.15 |
| Roberta Palmieri | 2 | 1 | 0.35 |
| Giuseppe Bonifazi | 3 | 3 | 4.23 |