2015
DOI: 10.1109/tip.2015.2432676
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Model-Based Adaptive 3D Sonar Reconstruction in Reverberating Environments

Abstract: In this paper, we propose a novel model-based approach for 3D underwater scene reconstruction, i.e., bathymetry, for side scan sonar arrays in complex and highly reverberating environments like shallow water areas. The presence of multipath echoes and volume reverberation generates false depth estimates. To improve the resulting bathymetry, this paper proposes and develops an adaptive filter, based on several original geometrical models. This multimodel approach makes it possible to track and separate the dire… Show more

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Cited by 20 publications
(9 citation statements)
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“…Sonar image preprocessing is the foundation of the sonar image processing and an indispensable part of image recognition [10][11][12][13]. Image preprocessing mainly includes image denoising and enhancement.…”
Section: Preprocessing and Signal-to-noise Ratio (Snr)mentioning
confidence: 99%
“…Sonar image preprocessing is the foundation of the sonar image processing and an indispensable part of image recognition [10][11][12][13]. Image preprocessing mainly includes image denoising and enhancement.…”
Section: Preprocessing and Signal-to-noise Ratio (Snr)mentioning
confidence: 99%
“…In [9] and [10], we proposed a TWS system that tracks the DOA of echoes obtained after thresholding an angular power distribution of the received array signal, i.e., the signal spectrogram. Spectrograms are computed using array processing methods [1].…”
Section: Contributionsmentioning
confidence: 99%
“…Thus, tracking is performed with a multitarget variant of the probabilistic data association flter. Geometrical models are proposed in [10] for DOA tracking and represent the prior on echo trajectories. Results obtained for real sonar data processing are given in [9] and [10].…”
Section: Contributionsmentioning
confidence: 99%
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“…Secondly, filtering the DOA estimates with the kinematic target-model and resolving the origin uncertainty problem is dealt with probabilistic data association filters [1]. In [2,3] we proposed a TWS system for a sonar image reconstruction application.…”
Section: Introduction and Related Workmentioning
confidence: 99%