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Portsmouth, Shallow Survey 2008, oct. 21-24, 2008, F. Jean
Shadows, combination of synthetic aperture sonar and forward looking gap-filler. Results in shallow water in Portsmouth during spring 2008. Portsmouth, Shallow Survey 2008, oct , 2008, F. Jean
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Contents Introduction Presentation of the Shadows system
Side Scan SAS Processing Forward looking sonar Processing Results in shallow water Complex Image Informations Further works
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Introduction Side scan Sonar : Settings for Shadows : Grazing angle
Echoes & shadows Gap Settings for Shadows : Maximal range 300m ( 600m swath ) Resolution 15cm Filling the gap with comparable resolution
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Shadows system Shadows architecture 2 m long, 24 receivers
Sides 2 m long, 24 receivers 3 transmitters F = 100kHz B = 30 kHz Front 70cm wide, 48 receivers 4 transmitters F = 300kHz B = 40kHz Real time georeferenced images PC algorithm PC acquisition ins
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Synthetic Aperture Sonar :
Side Scan SAS Synthetic Aperture Sonar : Sum of successive pings Length (~number of pings) adapted to range constant resolution along the swath Algorithm Steps INS Motion Compensation DPCA Motion Compensation Fusion and Real time beam forming (FFBP)
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INS motion compensation
Side Scan SAS INS motion compensation Highly accurate and synchronised INS Aided by a DVL -> limited linear drift Realtime georeferencing DPCA motion compensation Using correlation between signals Real time georeferenced mosaic
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Forward looking sonar Sectorized Emission Principle: Real Time:
4 different footprints Ambiguous reception Real Time: Incoherent Integration of several pings Post Processing: movie of a target. SAS data SAS data
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Fusion straight line on the sea-bottom
Geo-referenced map Keeping Continuous textures No deformation straight line on the sea-bottom -> straight line on the image
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Fusion
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Results in shallow water
Portsmouth, spring 2008
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Results in shallow water
50m x 50m image 30 meter water depth Range : 20m to 100m Results in shallow water 20m x 20m image 30 meter water depth Range : approx. 70m
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Complex Image Informations
Spatial Fourier transform on amplitude 2D 1D Space (m) Time (s) Frequency (Hz) Spatial frequency (m-1)
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Complex Image Informations
Spatial Fourier transform on complex data Amplitude phase Frequency Amplitude (constant) phase Frequency -> All information is in the Phase
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Complex Image Informations
Real Data : 1mx1m structure FFT of amplitude Amplitude FFT of complex Phase 8cm : along track resolution (SAS) 3cm : across track resolution (30kHz Bandwidth)
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Complex Image Informations
Low frequency pixels Complex Image Informations Partial Spectrum Images High frequency pixels
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Complex Image Informations
Filtering using phase of image Hermitian filter : Enhancing the ‘white pixels’
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Side scan SAS Forward looking Sonar Further Works Despeckling images
Work on different frequencies (higher or lower) Interferometry Forward looking Sonar Increase fusion quality between sectors Coherent integration
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Questions
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