Title :
A new approach for mine detection in SAS imagery
Author :
Courmontagne, Philippe
Author_Institution :
IM2NP UMR CNRS 6242, Toulon
Abstract :
Detection of underwater mines is a present crucial strategic task. Most of the methods used to detect and classify objects lying on the seafloor are based on the interpretation of the shadows of the objects, others are focusing on the echo itself. In this paper, we propose to use a one-dimensional detector based on the noisy data projection onto the most convenient basis for an optimal detection. This one is applied on the SAS data line after line, considering as line the data vector in a direction perpendicular to the SAS movement. Results obtained on real SAS data are presented to show the efficiency of such an approach.
Keywords :
object detection; oceanographic techniques; sonar detection; synthetic aperture sonar; SAS imagery; noisy data projection; seafloor objects; synthetic aperture sonar; underwater mine detection; Detectors; Marine animals; Object detection; Sea floor; Signal detection; Smoothing methods; Sonar detection; Speckle; Synthetic aperture sonar; Underwater tracking;
Conference_Titel :
OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-2125-1
Electronic_ISBN :
978-1-4244-2126-8
DOI :
10.1109/OCEANSKOBE.2008.4530974
