This paper describes a synthetic aperture sonar (SAS) dataset collected in-air consisting of four types of targets in four environments of different complexity. The in-air laboratory based experiments produced data with a level of fidelity and ground truth accuracy that is not easily attainable in...
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Dataset title: Synthetic Aperture Sonar Seabed Environment Dataset (SASSED) Date: June 2018 Description: This dataset contains 129 complex-valued, single (high frequency) channel, 1001x1001 pixel, synthetic aperture sonar snippets of various seafloor texture types. Each snippet contains one or more ...
PROBLEM TO BE SOLVED: To obtain a synthetic aperture sonar, in which an aperture is synthesized after a phasing beam is created and in which an image of high resolution is obtained by a method, wherein the aperture is synthesized by using information from a position detecting device in an ...
Paper tables with annotated results for Advances in Self-Supervised Learning for Synthetic Aperture Sonar Data Processing, Classification, and Pattern Recognition
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Deep convolutional neural networks are used to perform underwater target classification in synthetic aperture sonar (SAS) imagery. The deep networks are learned using a massive database of real, measured sonar data collected at sea during different expeditions in various geographical locations. A novel...
来源: HII Selects Miniature Synthetic Aperture Sonar for REMUS 620 UUVs | Unmanned Systems TechnologyKraken Robotics 的 AquaPix 微型合成孔径声纳系统设计使其适用于 REMUS 620 的模块化有效载荷和电池架…
Interferometric aperture synthesis is an inverse problem that attempts to form an elevation map of the earth (in the case of radar) or a bathymetric map of the seafloor (in the case of sonar). In both cases, a pair of (nominally) vertically displaced transducers is configured as an interfer...