Title :
Curvelet decomposition for detection of cylindrical targets
Author_Institution :
Naval Surface Warfare Center, Panama City, FL
Abstract :
Curvelets are a multiscale system with very high directional sensitivity. A new detection algorithm is herein described which operates on a curvelet decomposition of acoustic imagery. The algorithm detects the presence of cylindrical targets through a statistical mapping of curvelet coefficients. The coefficients are calculated as an inner product between image features and a curvelet basis element. The similarity in appearance between cylindrical targets and curvelet basis elements yield an accurate detection algorithm with a very low false alarm rate.
Keywords :
acoustic imaging; acoustic signal detection; curvelet transforms; object detection; acoustic imagery; curvelet coefficients statistical mapping; curvelet decomposition; curvelet transform; cylindrical target detection; false alarm rate; Acoustic signal detection; Bandwidth; Cities and towns; Detection algorithms; Object detection; Sensor phenomena and characterization; Sonar detection; Synthetic aperture sonar; Vehicles; Wavelet transforms; Acoustic applications; Underwater object detection; Wavelet transforms;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4712384
