Abstract
Selecting the most relevant bands from a hyperspectral image would considerably reduce the amount of data without practically losing relevant information. In addition, if some physical and signal criteria of this selection are taken into account, the obtained results grouping consecutive bands would be useful to design new filters for hyperspectral cameras in order to improve the efficiency of these devices. Starting from certain number of pre-selected bands, intervals of spectrally adjacent instances to these initial bands are considered for calculating new broader bands. Results will show how a weighted average on these intervals can keep, or even improve, the performance respecting to a narrower selection, avoiding, at the same time, common drawbacks from the narrow-band acquisition devices.
This work was supported by Spanish Ministry of Science and Education under Projects ESP2005-07724-C05-05, CSD2007-00018, PET2005-0643 and HP2005-0095 as well as Generalitat Valenciana under the project GV/2007/105.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Cover, T., Hart, P.: Nearest neighbor pattern classification. IEEE Transactions on Information Theory 13(1), 21–27 (1967)
Landgrebe, D.A.: Signal theory methods in multispectral remote sensing. Wiley, Chichester (2003)
Martinez-Uso, A., Pla, F., Sotoca, J.M., Garcia-Sevilla, P.: Clustering-based hyperspectral band selection using information measures. IEEE Trans on GRS 45(12), 4158–4171 (2007)
Martinez-Uso, A., Pla, F., Sotoca, J.M., Garcia-Sevilla, P.: Comparison of Unsupervised Band Selection Methods for Hyperspectral Imaging. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds.) IbPRIA 2007. LNCS, vol. 4477, pp. 30–38. Springer, Heidelberg (2007)
Price, J.C.: Spectral band selection for visible-near infrared remote sensing:spectral-spatial resolution tradeoffs. IEEE Trans on GRS 35(5), 1277–1285 (1997)
Sun, L., Staenz, K., Neville, R., White, H.: Impact of sensor signal-to-noise ratio and spectral characteristics on hyperspectral geoscience products. In: Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on, pp. 2064–2067 (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Martínez-Usó, A., Pla, F., Sotoca, J.M., García-Sevilla, P. (2008). From Narrow to Broad Band Design and Selection in Hyperspectral Images . In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science, vol 5112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69812-8_109
Download citation
DOI: https://doi.org/10.1007/978-3-540-69812-8_109
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69811-1
Online ISBN: 978-3-540-69812-8
eBook Packages: Computer ScienceComputer Science (R0)