A New Approach for Geological Faults Detection

A. O. Cepero Díaz, V. Di Gesù, C. Valenti

2004

Abstract

This paper will introduce a new approach, mainly based on wavelets transform and mathematical morphology, for the detection of geological faults in satellite and aerial photos. This can be useful for territorial analysis, digital cartography and the use of geographical information systems. The proposed method is fast enough and unsupervised. Different techniques will be compared and some examples on real data will be presented to indicate the applicability of these methods.

References

  1. Serra J., Image analysis and mathematical morphology, Academic Press (1982).
  2. Soille P., Morphological Image Analysis, Springer-Verlag, Second Edition (2003).
  3. Zheng X., Gong P. and Strome M., Characterizing spatial structure of tree canopy using colour photographs and mathematical morphology, Canadian Journal of Remote Sensing, Vol.21, No.4 (1995) 420{428.
  4. Ansoult M., Soille P. and Loodts J., Mathematical morphology: a tool for automated GIS data acquisition from scanned thematic maps, Photogrammetric Engineering and Remote Sensing, Vol.56, No.9 (1990) 1263{1271.
  5. Destival I., Mathematical morphology applied to remote sensing, Acta Astronautica, Vol.13, No.6-7 (1986) 371{385.
  6. Soille P. and Talbot H., Directional Morphological Filtering, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.23, No.11 (2001) 1313{1329.
  7. Di Gesuµ V., Maccarone M.C. and Tripiciano M., Mathematical Morphology Based on Fuzzy Operators, Fuzzy Logic, Kluwer Academic Publishers (1993) 477{486.
  8. Maccarone M.C., Fuzzy mathematical morphology: concepts and applications, Vision Modeling and Information Coding, Vistas in Astronomy, Vol.40, No.4 (1996) 469{477.
  9. Holschneider M., Kronland-Martinet R., Morlet J. and Tchamitchian Ph., The µa trous Algorithm, CPT-88/P.2215, Berlin (1988) 1{22.
  10. Grossmann A. and Morlet J., Decomposition of Hardy functions into square integrable wavelets of constant shape, SIAM J. Math. Anal., Vol.15, No.4 (1984) 723{736.
  11. Daubechies I., Ten Lectures on Wavelets, CBMS-NSF Regional Conference Series on Applied Mathematics, Vol.61, Soc. for Industrial and Applied Mathematics (1992).
  12. Graps A., An Introduction to Wavelets, IEEE Computational Science and Engineering, Vol.2, No.2 (1995).
  13. Klette R. and Zamperoni P., Handbook of Image Processing Operators, John Wiley & Sons (1996).
  14. Memorie descrittive della Carta Geologica d'Italia, Istituto Poligra¯co e Zecca dello Stato, Vol.60, (2001).
  15. The SIRIUS Spot Image catalogue, http://sirius.spotimage.fr
  16. The MODIS web, http://modis.gsfc.nasa.gov
Download


Paper Citation


in Harvard Style

O. Cepero Díaz A., Di Gesù V. and Valenti C. (2004). A New Approach for Geological Faults Detection . In Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2004) ISBN 972-8865-01-5, pages 216-221. DOI: 10.5220/0002686702160221


in Bibtex Style

@conference{pris04,
author={A. O. Cepero Díaz and V. Di Gesù and C. Valenti},
title={A New Approach for Geological Faults Detection},
booktitle={Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2004)},
year={2004},
pages={216-221},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002686702160221},
isbn={972-8865-01-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2004)
TI - A New Approach for Geological Faults Detection
SN - 972-8865-01-5
AU - O. Cepero Díaz A.
AU - Di Gesù V.
AU - Valenti C.
PY - 2004
SP - 216
EP - 221
DO - 10.5220/0002686702160221