NIR - REMOTE-SENSING AND ARTIFICIAL NEURAL NETWORKS FOR RAPID IDENTIFICATION OF POST CONSUMER PLASTICS

Authors
HUTHFEHRE T FELDHOFF R KANTIMM T QUICK L WINTER F CAMMANN K VANDENBROEK W WIENKE D MELSSEN W BUYDENS L
Citation
T. Huthfehre et al., NIR - REMOTE-SENSING AND ARTIFICIAL NEURAL NETWORKS FOR RAPID IDENTIFICATION OF POST CONSUMER PLASTICS, Journal of molecular structure, 348, 1995, pp. 143-146
Citations number
10
Categorie Soggetti
Chemistry Physical
Journal title
Journal of molecular structure → ACNP
ISSN journal
00222860
Volume
348
Year of publication
1995
Pages
143 - 146
Database
ISI
SICI code
0022-2860(1995)348:<143:N-RAAN>2.0.ZU;2-L
Abstract
An imaging spectrometer with a 256 element InGaAs diode array was comb ined with a high throughput optical arrangement for recording high qua lity NIR spectra (824 nm to 1700 nm) of plastics from a distance of 25 cm within 6.3 milliseconds. The considered spectral region was assess ed to be suitable for plastic identification.