Sonar target enhancement by shrinkage of incoherent wavelet coefficients.
Background reverberation can obscure useful features of the target echo response in broadband low-frequency sonar images, adversely affecting detection and classification performance. This paper describes a resolution and phase-preserving means of separating the target response from the background reverberation noise using a coherence-based wavelet shrinkage method proposed recently for de-noising magnetic resonance images. The algorithm weights the image wavelet coefficients in proportion to their coherence between different looks under the assumption that the target response is more coherent than the background. The algorithm is demonstrated successfully on experimental synthetic aperture sonar data from a broadband low-frequency sonar developed for buried object detection.
TNO (Netherlands Organisation for Applied Scientific Research), Oude Waalsdorperweg 63, 2597 AK The Hague, The Netherlands.
Alan J
AJ
Hunter
TNO (Netherlands Organisation for Applied Scientific Research), Oude Waalsdorperweg 63, 2597 AK The Hague, The Netherlands.
Robbert
R
van Vossen
D000465:Algorithms; D004867:Equipment Design; D005583:Fourier Analysis; D008962:Models, Theoretical; D009038:Motion; D013016:Sound; D013018:Sound Spectrography; D013997:Time Factors; D014159:Transducers; D014465:Ultrasonics / Q000295:instrumentation / Q000379:methods*; D014732:Vibration; D014867:Water; D058067:Wavelet Analysis
D014867:Water