Remote sensing of seabed types in the Australian South East Fishery; development and application of normal incident acoustic techniques and associated 'ground truthing'

2001 ◽  
Vol 52 (4) ◽  
pp. 475 ◽  
Author(s):  
R. J. Kloser ◽  
N. J. Bax ◽  
T. Ryan ◽  
A. Williams ◽  
B. A. Barker

Calibrated acoustic backscattering measurements using 12, 38 and 120 kHz were collected over depths of 30–230 m, together with benthic epi- and in-fauna, sediments, photographs and video data. Each acoustic ping was envelope detected and digitized by echo sounder to include both the first and second echoes, and specifically designed software removed signal biases. A reference set of distinct habitat types at different depths was established, and a simple classification of the seabed combined both biological and geological attributes. Four seabed types were identified as having broad biological and geological significance;the simple acoustic indices could discriminate three of these at a single frequency. This demonstrates that the acoustic indices are not directly related to specific seabed properties but to a combination of seabed hardness and roughness attributes at a particular sampling frequency. The acoustic-derived maps have greater detail of seabed structure than previously described by sediment surveys and fishers’ interpretation. The collection of calibrated digital acoustic data at multiple frequencies and the creation of reference seabed sites will ensure that new shape-and energy-based feature extraction methods on the ping-based data can begin to unravel the complexities of the seabed. The methods described can be transferred to higher-resolution swath-mapping acoustic-sampling devices such as digital side-scan sonars and multi-beam echo sounders.

2021 ◽  
Vol 9 (12) ◽  
pp. 1332
Author(s):  
Susana Llorens-Escrich ◽  
Elena Tamarit ◽  
Sebastián Hernandis ◽  
Noela Sánchez-Carnero ◽  
Miguel Rodilla ◽  
...  

Posidonia oceanica meadows are ecosystem engineers that play several roles in marine environment maintenance. In this sense, monitoring of the spatial distribution and health status of their meadows is key to make decisions about protecting them against their degradation. With the aim of checking the ability of a simple low-cost acoustic method to acquire information about the state of P. oceanica meadows as ecosystem indicators, ground-truthing and acoustic data were acquired over several of these meadows on the Levantine coast of Spain. A 200 kHz side scan sonar in a vertical configuration was used to automatically estimate shoot density, canopy height and cover of the meadows. The wide athwartship angle of the transducer together with its low cost and user friendliness entail the main advantages of this system and configuration: both improved beam path and detection invariance against boat rolling. The results show that canopy height can be measured acoustically. Furthermore, the accumulated intensity of the echoes from P. oceanica in the first 30 centimeters above the bottom is indirectly related to shoot density and cover, showing a relation that should be studied deeply.


Author(s):  
Rashmi B S ◽  
Nagendraswamy H S

The amount of video data generated and made publicly available has been tremendously increased in today's digital era. Analyzing these huge video repositories require effective and efficient content-based video analysis systems. Shot boundary detection and Keyframe extraction are the two major tasks in video analysis. In this direction, a method for detecting abrupt shot boundaries and extracting representative keyframe from each video shot is proposed. These objectives are achieved by incorporating the concepts of fuzzy sets and intuitionistic fuzzy sets. Shot boundaries are detected using coefficient of correlation on fuzzified frames. Further, probabilistic entropy measures are computed to extract the keyframe within fuzzified frames of a shot. The keyframe representative of a shot is the frame with highest entropy value. To show the efficacy of the proposed methods two benchmark datasets are used (TRECVID and Open Video Project). The proposed methods outperform when compared with some of state-of-the-art shot boundary detection and keyframe extraction methods.


2000 ◽  
Vol 57 (10) ◽  
pp. 2112-2121 ◽  
Author(s):  
John W Kern ◽  
Kenneth O Coyle

Because of patchy distributions and the expense of collecting and processing net samples, zooplankton population data are often characterized by broad confidence intervals, with little detailed information on vertical and horizontal distributions. Although acoustic techniques and optical plankton counters combined with nets can supply much more detailed information on plankton distributions, application of classical statistical procedures to such data may be effected by pseudoreplication from autocorrelation in closely spaced samples. We apply two-dimensional kriging for population mapping and global estimation. The technique utilizes a computational estimator of the global block kriging mean, which can be applied to large data sets common to hydroacoustic surveys. The techniques are outlined using examples from acoustic data taken in the western Aleutian Islands. This technique has two fundamental advantages: (i) it minimizes pseudoreplication by accounting for autocorrelation, permitting rigorous statistical inferences, and (ii) it provides an effective technique for visualizing the results. These advantages may make this a useful technique for identifying changes in the size and distribution of populations.


1998 ◽  
Vol 45 (7) ◽  
pp. 1175-1199 ◽  
Author(s):  
Mark C. Benfield ◽  
Peter H. Wiebe ◽  
Timothy K. Stanton ◽  
Cabell S. Davis ◽  
Scott M. Gallager ◽  
...  

2017 ◽  
Vol 9 (4) ◽  
pp. 15-29
Author(s):  
Lingchen Gu ◽  
Ju Liu ◽  
Aixi Qu

The advancement of multimedia technology has contributed to a large number of videos, so it is important to know how to retrieve information from video, especially for crime prevention and forensics. For the convenience of retrieving video data, content-based video retrieval (CBVR) has got great publicity. Aiming at improving the retrieval performance, we focus on the two key technologies: shot boundary detection and keyframe extraction. After being compared with pixel analysis and chi-square histogram, histogram-based method is chosen in this paper. Then we combine it with adaptive threshold method and use HSV color space to get the histogram. For keyframe extraction, four methods are analyzed and four evaluation criteria are summarized, both objective and subjective, so the opinion is finally given that different types of keyframe extraction methods can be used for varied types of videos. Then the retrieval can be based on keyframes, simplifying the process of video investigation, and helping criminal investigation personnel to improve work efficiency.


Author(s):  
James N. Magarian ◽  
Robert D. White ◽  
Douglas M. Matson

A method is proposed for real-time process monitoring for expanded polystyrene (EPS) injection molding systems. The method employs measurement of two variables: vacuum pressure in the EPS supply hose and phase difference between two points along an acoustic standing wave generated within the EPS flow path. High-speed videography is utilized as a secondary means of monitoring the injection molding process. Video data are correlated with pressure and acoustic data to substantiate those variables’ validity as indicators of intended molding system performance. Data show recorded parameter curve shapes to be indicative of key injection molding milestone events, such as valve timing and changes in flow regime.


2009 ◽  
Vol 66 (6) ◽  
pp. 1370-1376 ◽  
Author(s):  
Atle Totland ◽  
Geir O. Johansen ◽  
Olav R. Godø ◽  
Egil Ona ◽  
Terje Torkelsen

Abstract Totland, A., Johansen, G. O., Godø, O. R., Ona, E., and Torkelsen, T. 2009. Quantifying and reducing the surface blind zone and the seabed dead zone using new technology. – ICES Journal of Marine Science, 66: 1370–1376. The surface blind zone and the seabed dead zone are unobservable with hull-mounted acoustic systems. These constraints may seriously limit the effectiveness of acoustic observations in studies of ecosystem dynamics. In this paper, new technologies are used to make observations in these boundary zones, by augmenting conventional acoustic observations from transducers mounted in a retractable keel with simultaneous observations from two autonomous acoustic systems, one sampling the surface blind zone and the other the seabed dead zone. These observations to some extent overlap in depth, which allows comparisons between data collected with the vessel and the corresponding data from the two autonomous systems. The main targets of the investigation were young-of-the-year gadoids in the surface blind zone and older cod at least partly in the seabed dead zone. Species and their sizes were identified from trawl samples. The advantages and limitations of using new autonomous equipment for quantifying the acoustic backscattering within otherwise unobservable zones are discussed. The magnitudes of potential measurement biases in acoustic data collected with the vessel are also estimated for this survey.


2022 ◽  
pp. 1-12
Author(s):  
Md Rajib M Hasan ◽  
Noor H. S. Alani

Moving or dynamic object analysis continues to be an increasingly active research field in computer vision with many types of research investigating different methods for motion tracking, object recognition, pose estimation, or motion evaluation (e.g. in sports sciences). Many techniques are available to measure the forces and motion of the people, such as force plates to measure ground reaction forces for a jump or running sports. In training and commercial solution, the detailed motion of athlete's available motion capture devices based on optical markers on the athlete's body and multiple calibrated fixed cameras around the sides of the capture volume can be used. In some situations, it is not practical to attach any kind of marker or transducer to the athletes or the existing machinery are being used, while it is required by a pure vision-based approach to use the natural appearance of the person or object. When a sporting event is taking place, there are opportunities for computer vision to help the referee and other personnel involved in the sports to keep track of incidents occurring, which may provide full coverage and analysis in details of the event for sports viewers. The research aims at using computer vision methods, specially designed for monocular recording, for measuring sports activities, such as high jump, wide jump, or running. Just for indicating the complexity of the project: a single camera needs to understand the height at a particular distance using silhouette extraction. Moving object analysis benefits from silhouette extraction and this has been applied to many domains including sports activities. This paper comparatively discusses two significant techniques to extract silhouettes of a moving object (a jumping person) in monocular video data in different scenarios. The results show that the performance of silhouette extraction varies in dependency on the quality of used video data.


2008 ◽  
Vol 65 (12) ◽  
pp. 2769-2779 ◽  
Author(s):  
Lars G. Rudstam ◽  
Frank R. Knudsen ◽  
Helge Balk ◽  
Gideon Gal ◽  
Brent T. Boscarino ◽  
...  

We measured acoustic backscattering from Mysis relicta , a common invertebrate in northern lakes, using five frequencies (38, 120, 200, 430, and 710 kHz). Acoustic backscattering from mysids was highest at 430 kHz and lowest at 38 kHz (19 dB lower). Maximum difference between the four other frequencies was 5.2 dB. Mysid target strength (TS) ranged from –80.1 dB at 430 kHz to –99.4 dB at 38 kHz (12 mm average length, range 5–21 mm). A theoretical scattering model (Stanton’s fluid-like, bent-cylinder model) predicted TS within 0.3–1.9 dB of observed TS for the different frequencies. The detection range was lowest at 38 and 710 kHz and greatest at 120 and 200 kHz. Fish were common above the mysid layer and produced higher acoustic backscattering at 38 kHz than at the other frequencies. A combination of 38 kHz and 120 or 200 kHz provides a strong contrast between mysid and fish acoustic backscattering that would help separate these groups using acoustic data.


2015 ◽  
Vol 20 (2) ◽  
pp. 61 ◽  
Author(s):  
Henry M Manik

Underwater acoustic sampling techniques provide an advantage over traditional net-sampling for zooplankton research. The research presents a methodology for extracting both biological and physical information from high frequency sonar. These methods can easily provide the information that will improve our understanding of the spatial and temporal distribution of zooplankton. Measured acoustic data converted into biological organisms and numerical physics-based scattering models were used in this research. The numerical backscattering process was modeled using the Distorted-Wave Born Approximation (DWBA) to predict the amount of sound scattered by a weakly scattering animal. Both acoustic measurement and DWBA modeled scattering patterns showed that acoustic scattering levels are highly dependent on zooplankton orientation. The acoustic backscattering from zooplankton depends on the material properties (i.e. the sound speed and density of the zooplankton), the shape and size, and the orientation relative to the incident acoustic wave. DWBA model significantly improve the accuracy and precision of zooplankton acoustic surveys. Zooplankton data measurement and DWBA model analysis provide a basis for future acoustical studies.


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