Target detection in sonar images using Empirical Mode Decomposition and morphology

  title={Target detection in sonar images using Empirical Mode Decomposition and morphology},
  author={Aysun Tasyapi Çelebi and S. Erturk},
  journal={2010 IEEE 18th Signal Processing and Communications Applications Conference},
In this paper to a new target detection algorithm for sonar images based on segmention using Empirical Mode Decomposition (EMD) and Morphological Operations is proposed. In the proposed approach morphological operations are applied after EMD to provide higher detection accuracy. Experimental results show that the EMD based approach proposed in this paper improves target detection accuracy. The target detection performance is increased compared to utilizing morphological operations only, as… CONTINUE READING


Publications citing this paper.
Showing 1-2 of 2 extracted citations


Publications referenced by this paper.
Showing 1-10 of 10 references

Empirical Mode Decomposition Pre-Process for Higher Accuracy Hyperspectral Image Classification

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium • 2008
View 2 Excerpts

Petillot Sidescan Sonar Segmentation Using Texture Descriptors and Active Contours

Maria Lianantonakis, R Yvan
IEEE Journal of Oceanic Engineering, • 2007
View 1 Excerpt

Automated detection/classification of objects in side-scan sonar imagery

2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings. • 2004
View 1 Excerpt

Sonar for Practising Engineers

A. D. Waite
John Wiley&Sons, Ltd, • 2002
View 1 Excerpt

Adaptation of a partial shape recognition approach

S. Daniel, S. Guillaudeux
Proc. IEEE Conf. Systems, Man, Cybernetics, pp:2157–2162, Oct. 1997. • 1997
View 1 Excerpt

Measurement of seabed topography by multibeam sonar using CFFT

M. Okino, Y. Higashi
IEEE J. Oceanic Eng. vol. 11, • 1986
View 1 Excerpt

Similar Papers

Loading similar papers…