Results of synthetic aperture sonar experiments

Neudorfer, M.L.; Kosalos, J.G.; Bonneau, Robert J.

doi:10.1109/oceans.2000.881279

Cited by 7 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The biggest and most significant of the purpose built SAS was originally built by Alliant under a DARPA contract then bought out by Techsystems then Hughes Aircraft and now owned by Raytheon Electronic Systems. However, since it was a military system, it produced few publications in the open literature [33,34]. Meanwhile in Europe under the umbrella of a European Union MAST programme, a low frequency ACID/SAMI sonar was producing interesting geophysical results.…”

Section: Gough Et Al: Sas Historymentioning

confidence: 99%

Synthetic Aperture Sonar: The Past, the Present and the Future

GOUGH,

HAYES

2023

Sonar Signal Processing 2004

View full text Add to dashboard Cite

This presentation gives an overview of the state-of-the-art in side-looking acoustic imaging using synthetic aperture techniques. It starts with the development of aperture synthesis, gives the historical background of synthetic aperture sonar (SAS), and then describes the salient differences between that and its electromagnetic equivalent; synthetic aperture radar (SAR). This paper takes a broad view of how SAS developed and where these developments occurred. We look at the past (with close attention paid to the patent literature), the present, as well as to hazard some guesses as to the future.

show abstract

Section: Gough Et Al: Sas Historymentioning

confidence: 99%

Synthetic Aperture Sonar: The Past, the Present and the Future

GOUGH,

HAYES

2023

Sonar Signal Processing 2004

View full text Add to dashboard Cite

show abstract

“…Height is compared with the real-time image to be matched as a criterion. In order to verify the matching accuracy of the improved SIFT feature matching algorithm, the real-time sliding sampling of the 1000 * 1000 sliding window in the complete experiment is carried out to simulate the actual underwater experiment [7]. In order to avoid the duplication of the standard sample database and the data of the test data, the experimental results are lacking in persuasion.…”

Section: Experimental Data Validationmentioning

confidence: 99%

Research on Underwater Navigation Algorithm Based on SIFT Matching Algorithm

Li¹,

Zhang²

2017

dtetr

View full text Add to dashboard Cite

Abstract. Autonomous Underwater Vehicle (AUV) is currently used to side scan sonar, doppler velocimetry and inertial navigation devices and other equipment-based integrated navigation program navigation. The side scan sonar can generate the underwater acoustical image in real time and match it with the feature database through the image matching algorithm to filter the navigation data. Aiming at the characteristics of underwater acoustic image data, the method of drawing underwater acoustic image is described. In order to integrate the feature matching of the underwater acoustic image into the integrated navigation, this paper introduces the SIFT feature matching algorithm to improve the characteristics of the underwater acoustic image and introduces the discriminant condition based on the least squares method. After the matching criterion is introduced, the improved SIFT feature matching algorithm is greatly improved when the landmark matching is achieved, and the occurrence of false matching is avoided. Finally, the real experimental data obtained by the side-scan sonar equipment are verified by the algorithm, and the satisfactory results are obtained.

show abstract

“…InSAS became a very active research hotspot in the field of hydroacoustic signal processing in the late 1990s. Examples of its application include the synthetic aperture sonar (SAS) system by the National Defense Center of Excellence for Research in Ocean Sciences in the United States, 2 the synthetic aperture mapping and imaging SAS system in Europe, 3 kiwi-SAS system in New Zealand, 4 HISAS system in Norway, 5,6 InSAS system by the Naval University of Engineering in China, 7 and others. 8,9 InSAS is a relatively new three-dimensional imaging sonar technique.…”

Section: Introductionmentioning

confidence: 99%

Review of interferometric synthetic aperture sonar interferometric phase filtering methods

Huang,

Ding,

Wang

et al. 2023

Advances in Mechanical Engineering

View full text Add to dashboard Cite

Interferometric synthetic aperture sonar (InSAS) is a novel three dimensional underwater mapping system, which is widely used in various fields. Interferometric phase filtering is a crucial process in InSAS signal processing. The study of interferogram filtering method has great significance to improve the signal-to-noise ratio (SNR) of interferogram, reduce the difficulty of phase unwrapping, and improve the accuracy of digital elevation maps. Firstly, this article introduces the sources of interferometric phase noise. Secondly, it illustrates the difference between real domain filter and complex domain filter by simulation experiment. Thirdly, the various methods of InSAS interferogram filtering are systematically studied, which can be classified into spatial domain filtering and transform domain filtering. The transform domain filtering can be further divided into frequency domain and wavelet transform filtering. Moreover, the advantages and disadvantages of various methods are analyzed theoretically. Finally, numerical simulation and real-data processing experiments are performed, and the advantages and shortcomings of several methods are compared using residue numbers, root mean square error (RMSE), and CPU time as evaluation criteria.

show abstract

Results of synthetic aperture sonar experiments

Cited by 7 publications

References 1 publication

Synthetic Aperture Sonar: The Past, the Present and the Future

Synthetic Aperture Sonar: The Past, the Present and the Future

Research on Underwater Navigation Algorithm Based on SIFT Matching Algorithm

Review of interferometric synthetic aperture sonar interferometric phase filtering methods

Contact Info

Product

Resources

About