Title
Fuzzy Spectral and Spatial Feature Integration for Classification of Non-ferrous Materials in Hyper-spectral Data
Abstract
Hyperspectral data allows the construction of more elaborate models to sample the properties of the nonferrous materials than the standard RGB color representation. In this paper, the nonferrous waste materials are studied as they cannot be sorted by classical procedures due to their color, weight and shape similarities. The experimental results presented in this paper reveal that factors such as ...
Year
DOI
Venue
2009
10.1109/TII.2009.2031238
IEEE Transactions on Industrial Informatics
Keywords
DocType
Volume
Hyperspectral imaging,Waste materials,Building materials,Shape,Chemicals,Robustness,Composite materials,Gaussian distribution,Merging,Fuzzy sets
Journal
5
Issue
ISSN
Citations 
4
1551-3203
19
PageRank 
References 
Authors
1.89
24
4
Name
Order
Citations
PageRank
Artzai Picon1242.67
Ovidiu Ghita223418.12
Paul F. Whelan356139.95
Pedro M. Iriondo4364.69