| Paper: | ITT-L2.2 | ||
| Session: | Defense Applications | ||
| Time: | Friday, May 21, 09:50 - 10:10 | ||
| Presentation: | Lecture | ||
| Topic: | Industry Technology Track: Radar and Sonar | ||
| Title: | ON THE USE OF HIGHER ORDER STATISTICS IN SAS IMAGERY | ||
| Authors: | Frédéric Maussang; Laboratoire des Images et des Signaux | ||
| Jocelyn Chanussot; Laboratoire des Images et des Signaux | |||
| Alain Hétet; Groupe d'Etudes Sous-Marines de l'Atlantique | |||
| Abstract: | Synthetic Aperture Sonar (SAS) imagery is largely used in detection, location and classification of underwater mines laying or buried in the sea bed. This paper proposes a detection method using Higher Order Statistics (HOS) on SAS images. The proposed method can be divided into two steps. Firstly, the HOS (Skewness and Kurtosis) are locally estimated using a square sliding computation window. In a second step, the results are focused by a correlation process. This enables the precise location of the objects. This method is tested on real SAS data containing both underwater mines laying on the sea bed and buried objects. | ||
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