NEURAL BASED ROTATION AND SCALE INDEPENDENT DETECTION OF TARGETS IN A HYPERSPECTRAL WATERWAY MONITORING SYSTEM

Blanca Priego, Richard J. Duro, Francisco Bellas, Daniel Souto

2012

Abstract

This paper is devoted to the presentation of the orientation and scale invariant detection subsystem within the current development of Hywacoss (Hyperspectral waterway control and security system). A neural network ensemble based identification and rotation detection module is considered in order to be able to detect and classify objects in waterways from hyperspectral image cubes in a fast and efficient manner. The neural approach followed is inspired by the orientation detection structures in the visual processing cortex. The system is tested over two different hyperspectral image cubes extracted from simulated waterways to verify its adequate operation.

References

  1. Glackin D. L. and Peltzer G. R., 1999, Civil, Commercial, and International Remote Sensing Systems and Geoprocessing, Aerospace Press, American Institute of Aeronautics and Astronautics.
  2. Pan, Z., Healey, G. E., Prasad, M., Tromberg, B. J., 2003, Hyperspectral face recognition for homeland security. Infrared Technology and Applications XXIX. Edited by Andresen, B. F.; Fulop, G. F. Proceedings SPIE, V 5074: 767-776.
  3. de Juan, A., Tauler, R., Dyson, R., Marcolli, C., Rault, M., Maeder, M., 2004, Spectroscopic imaging and chemometrics: a powerful combination for global and local sample analysis, Trends in Analytical chemistry, 23: 70-79.
  4. Li, J., Bioucas-Dias, J. M., Plaza, A., 2010, Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression with Active Learning, IEEE Transactions on Geoscience and Remote Sensing, V. 48, N.11, pp. 4085-4097.
  5. Hubel, D. H., T. N. Wiesel, 1962, Receptive Fields, Binocular Interaction And Functional Architecture In The Cat's Visual Cortex, Journal of Physiology, v. 160, pp. 106-154.
  6. Hubel, D. H., Wiesel, T. N., 1974, Sequence regularity and geometry of orientation columns in the monkey striate cortex, J Comp Neurol, Dec 1;158 (3): 267-93.
  7. Han, W. J., Kim, S. D., Han, I. S., 2010, Bio-inspired visual information processing - the neuromorphic approach Wseas Transactions on Circuits and Systems, Issue 7, Volume 9, pp. 441-452.
  8. Plaza, A., Benediktsson, J. A., Boardma, J. W., Brazile, J., Bruzzone, L, Camps-Valls, G., Chanussot, J., Fauvel, M., Gamba, P., Gualtieri, A., Marconcini, M., Tilton, J. C., Trianni, G., 2009, Recent advances in techniques for hyperspectral image processing, Remote Sensing of Environment 113, S110-S122.
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Paper Citation


in Harvard Style

Priego B., J. Duro R., Bellas F. and Souto D. (2012). NEURAL BASED ROTATION AND SCALE INDEPENDENT DETECTION OF TARGETS IN A HYPERSPECTRAL WATERWAY MONITORING SYSTEM . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: PRARSHIA, (ICPRAM 2012) ISBN 978-989-8425-98-0, pages 419-425. DOI: 10.5220/0003858204190425


in Bibtex Style

@conference{prarshia12,
author={Blanca Priego and Richard J. Duro and Francisco Bellas and Daniel Souto},
title={NEURAL BASED ROTATION AND SCALE INDEPENDENT DETECTION OF TARGETS IN A HYPERSPECTRAL WATERWAY MONITORING SYSTEM},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: PRARSHIA, (ICPRAM 2012)},
year={2012},
pages={419-425},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003858204190425},
isbn={978-989-8425-98-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: PRARSHIA, (ICPRAM 2012)
TI - NEURAL BASED ROTATION AND SCALE INDEPENDENT DETECTION OF TARGETS IN A HYPERSPECTRAL WATERWAY MONITORING SYSTEM
SN - 978-989-8425-98-0
AU - Priego B.
AU - J. Duro R.
AU - Bellas F.
AU - Souto D.
PY - 2012
SP - 419
EP - 425
DO - 10.5220/0003858204190425