Shadow modelling and correction techniques in hyperspectral imaging

Electronics Letters

Volumn 49, Issue 7, 2013, Pages 477-479

  Roper, T ^a   Andrews, M ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

COMPENSATION TECHNIQUES; CORRECTION TECHNIQUES; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGING; ILLUMINATION VARIATION; LINEAR MIXTURE MODELS; QUANTITATIVE IMAGE MEASUREMENTS;

ELECTRONICS ENGINEERING; TECHNOLOGY;

SPECTROSCOPY;

EID: 84877755041     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el.2012.4406     Document Type: Article

References (7)

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2. Manolakis, D., Marden, D., and Shaw, G.A.: 'Hyperspectral image processing for automatic target detection applications', Linc. Lab. J., 2003, 14, pp. 79-116
3. Winter, M.E.: 'N-FINDR - an algorithm for fast autonomous spectral end-member determination in hyperspectral data'. SPIE's Int. Symp. on Optical Science, Engineering, and Instrumentation, Denver, CO, USA, 1999, pp. 266-275
4. Berman, M., Kiiveri, H., Lagerstrom, R., Ernst, A., Dunne, R., and Huntington, J.F.: 'ICE: a statistical approach to identifying endmembers in hyperspectral images', IEEE Trans. Geosci. Remote Sens., 2004, 42, (10), pp. 2085-295
5. Nascimento, J., and Dias, J.: 'Vertex component analysis: a fast algorithm to unmix hyperspectral data', IEEE Geosci. Remote Sens., 2005, 43, (4), pp. 898-910
6. Bowmaker, R.J., Dunn, R.J., Moynihan, K.B., Roper, T.J., and Andrews, M.: 'Construction of a practical hyperspectral image acquisition system'. 26th Int. Conf. Image and Vision Computing, New Zealand, 2011
7. Craig, M.D.: 'Minimum-volume transforms for remotely sensed data', IEEE Trans. Geosci. Remote Sens. 1994, 32, (3), pp. 542-552