Innovative recognition-sorting procedures applied to solid waste: the hyperspectral approach

Author:

Bonifazi G.1,Serranti S.1,Bonoli A.2,Dall’Ara A.3

Affiliation:

1. Department of Chemical, Materials and Environmental Engineering, Sapienza Università di Roma, Italy

2. Dipartimento di Ingegneria Chimica Mineraria e delle Tecnologie Ambientali, Università di Bologna, Italy

3. ENEA Faenza (RA), Italy

Publisher

WIT Press

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dual-Branch CNN for the Identification of Recyclable Materials;2021 IEEE International Conference on Imaging Systems and Techniques (IST);2021-08-24

2. DETECTING CONTAMINANTS IN POST-CONSUMER PLASTIC PACKAGING WASTE BY A NIR HYPERSPECTRAL IMAGING-BASED CASCADE DETECTION APPROACH;Detritus;2021-06-06

3. CompostNet: An Image Classifier for Meal Waste;2019 IEEE Global Humanitarian Technology Conference (GHTC);2019-10

4. A robust classification algorithm for separation of construction waste using NIR hyperspectral system;Waste Management;2019-05

5. Sequential Classification of Hyperspectral Images;Hyperspectral Imaging in Agriculture, Food and Environment;2018-08-01

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