Trash analysis in billet cane using spectral unmixing

International Sugar Journal

Volumn 109, Issue 1304, 2007, Pages 513-520

  Tulip, J R ^a   Moore, W E ^a  

^a CHARLES STURT UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPONENT WEIGHT; COMPUTATIONAL COSTS; LINEAR SPECTRAL UNMIXING; ONLINE MONITORING; SPECTRAL UNMIXING; SURFACE COVERAGES; SURFACE MIXTURES; WEIGHT FRACTIONS;

FEEDSTOCKS; SUGAR FACTORIES;

BILLETS (METAL BARS);

EID: 34548188941     PISSN: 00208841     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Gu, Y. and Zhang, Y. (2003). Unsupervised subspace linear mixture analysis for hyperspectral images. Proceedings of the 2003 International Conference on Image Processing, 1: 14-17
2. Kent, G.A., Allen, W.J., Hoare, C.P. and Dixon, T.F. (1999). The effect of extraneous matter on factory throughput and performance. Proc. Aust. Soc. Sugar Cane Technol., 21: 38-43.
3. Kent, G.A., Hoare, C.P., Miller, K.F. and Allen, W.J. (2003). Harvest and factory data to assist in evaluating the effect of extraneous matter on sugar production costs and performance. Proc. Aust. Soc. Sugar Cane Technol. (CDROM), 25: 15p.
4. Keshava, N. and Mustard, J.F. (2002). Spectral unmixing. IEEE Signal Processing Magazine, 19 (1): 44-57.
5. Plaza, A., Martinez, P., Perez, R. and Plaza, J. (2002). Spatial/spectral endmember extraction by multidimensional morphological operations. IEEE Transactions on Geoscience and Remote Sensing. 40 (9): 2025-2041.
6. Pope, G., McDowell, R., Massey, W. and Staunton, S. (2004). The use of NIR spectroscopy in a cane quality incentive scheme. Proc. Aust. Soc. Sugar Cane Technol., (CD-ROM), 26: 8p.
7. Schembri, M.G., Hobson, P.A. and Paddock, R. (2002). The development of a prototype factory based trash separation plant. Proc. Aust. Soc. Sugar Cane Technol., 24: 12-18
8. Shimabukuro, Y.E. and Smith, J.A. (1991). The least-squares mixing models to generate fraction images derived from remote sensing multispectral data. IEEE Transactions on Geoscience and Remote Sensing. 29 (1): 16-20.
9. Staunton, S.P., Lethbridge, P.J., Grimley, S.C., Streamer, R.W., Rogers, J. and Mackintosh, D.L. (1999). Online cane analysis by near infra-red spectroscopy. Proc. Aust. Soc. Sugar Cane Technol., 21: 20-27.
10. Staunton, S.P., Mackintosh, D.L. and Peatey, G. (2004). The application of network NIR calibration equations at the Maryborough sugar factory. Proc. Aust. Soc. Sugar Cane Technol., (CD-ROM), 26: 14p.
11. Tulip, J.R. and Moore, W.E. (2004). Non-invasive estimation of trash levels in billet cane using image analysis. Proc. Aust. Soc. Sugar Cane Technol., (CD-ROM), 26: 8p.
12. Tulip, J.R. and Wilkins, K. (2005). Application of spectral unmixing to trash level estimation in billet cane. Proc. Aust. Soc. Sugar Cane Technol.,27: 387-399.