Analysis of GNSS, Hydroacoustic and Optoelectronic Data Integration Methods Used in Hydrography

Lewicka, Oktawia; Specht, Mariusz; Stateczny, Andrzej; Specht, Cezary; Brčić, David; Jugović, Alen; Widźgowski, Szymon; Wiśniewska, Marta

doi:10.3390/s21237831

Cited by 13 publications

(14 citation statements)

References 46 publications

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“…In the coastal zone monitoring studies, optoelectronic and hydroacoustic methods are used [83]. However, these methods do not ensure the coverage with data of the entire coastal zone.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Terrain Modelling Methods in the Coastal Zone

Lewicka¹

2023

Komunikácie

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ResumeGeospatial data are increasingly used to model the terrain in the coastal zone, in particular in shallow waterbodies (with a depth of up to 1 m). In order to generate a terrain relief, it is important to choose a method for its modelling that will allow it to be accurately projected. Therefore, the aim of this publication is to analyze the terrain modelling methods in the coastal zone. For the purposes of the research, five most popular methods for terrain modelling were described: Inverse Distance Weighted (IDW), Modified Shepard's Method (MSM), Natural Neighbor Interpolation (NNI), kriging and spline. Each of the methods has been described in a uniform way in terms of: the essence of its operation, mathematical expression and application examples. The advantages and disadvantages of each of the methods for terrain modelling are also discussed. It should be stated that the choice of the method for the terrain modelling of a shallow waterbody is not unambiguous, as it depends on the type of data recorded during bathymetric and photogrammetric measurements.

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“…In the coastal zone monitoring studies, optoelectronic and hydroacoustic methods are used [83]. However, these methods do not ensure the coverage with data of the entire coastal zone.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Terrain Modelling Methods in the Coastal Zone

Lewicka¹

2023

Komunikácie

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“…The first stage of work involved a review and analysis of the existing hydroacoustic and optoelectronic data integration methods. To this end, four selected data integration methods [22,[45][46][47] were described in detail in the publication [48]. Of the many methods, those that used data derived from GNSS, RTK measurements, hydrographic surveys, a photogrammetric pass using unmanned vehicles, and Terrestrial Laser Scanning (TLS) were selected.…”

Section: Hydroacoustic and Optoelectronic Data Integration Componentmentioning

confidence: 99%

“…Accuracy of selected GNSS, hydroacoustic, and optoelectronic data integration methods used in hydrography[48].…”

mentioning

confidence: 99%

Integration Data Model of the Bathymetric Monitoring System for Shallow Waterbodies Using UAV and USV Platforms

Lewicka

Specht²,

Stateczny

et al. 2022

Remote Sensing

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Changes in the seafloor relief are particularly noticeable in shallow waterbodies (at depths up to several metres), where they are of significance for human safety and environmental protection, as well as for which the highest measurement accuracy is required. The aim of this publication is to present the integration data model of the bathymetric monitoring system for shallow waterbodies using Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV). As part of this model, three technology components will be created: a hydroacoustic and optoelectronic data integration component proposed by Dąbrowski et al., a radiometric depth determination component based on optoelectronic data using the Support Vector Regression (SVR) method, and a coastline extraction component proposed by Xu et al. Thanks to them, it will be possible to cover the entire area with measurements in the coastal zone, in particular between the shallow waterbody coastline and the min. isobath recorded by the echo sounder (the area is lacking actual measurement data). Multisensor data fusion obtained using Global Navigation Satellite System (GNSS)/Inertial Navigation System (INS), Light Detection And Ranging (LiDAR), Real Time Kinematic (RTK), UAV, and USV will allow to meet the requirements provided for the International Hydrographic Organization (IHO) Special Order (horizontal position error ≤ 2 m (p = 0.95), vertical position error ≤ 0.25 m (p = 0.95)). To this end, bathymetric and photogrammetric measurements shall be carried out under appropriate conditions. The water transparency in the tested waterbody should be at least 2 m. Hydrographic surveys shall be performed in windless weather and the water level is 0 in the Douglas sea scale (no waves or sea currents). However, the mission with the use of an UAV should take place in appropriate meteorological conditions, i.e., no precipitation, windless weather (wind speed not exceeding 6–7 m/s), sunny day.

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“…The multibeam echo sounder system contains multiple sub-systems, including global navigation satellite system (GNSS), motion reference unit (MRU), gyro-magnetic compass, the bathymetric sonar and other auxiliary sensors [42,43]. Multibeam sonars emit sound waves through the projector arrays and then receive the backscatter strengths at multiple angles through the hydrophone arrays.…”

Section: Basic Principle Of Target Detection In Multibeam Water Colum...mentioning

confidence: 99%

Bubble Plume Target Detection Method of Multibeam Water Column Images Based on Bags of Visual Word Features

2022

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Bubble plumes, as main manifestations of seabed gas leakage, play an important role in the exploration of natural gas hydrate and other resources. Multibeam water column images have been widely used in detecting bubble plume targets in recent years because they can wholly record water column and seabed backscatter strengths. However, strong noises in multibeam water column images cause many issues in target detection, and traditional target detection methods are mainly used in optical images and are less efficient for noise-affected sonar images. To improve the detection accuracy of bubble plume targets in water column images, this study proposes a target detection method based on the bag of visual words (BOVW) features and support vector machine (SVM) classifier. First, the characteristics of bubble plume targets in water column images are analyzed, with the conclusion that the BOVW features can well express the gray scale, texture, and shape characteristics of bubble plumes. Second, the BOVW features are constructed following steps of point description extraction, description clustering, and feature encoding. Third, the quadratic SVM classifier is used for the recognition of target images. Finally, a procedure of bubble plume target detection in water column images is described. In the experiment using the measured data in the Strait of Georgia, the proposed method achieved 98.6% recognition accuracy of bubble plume targets in validation sets, and 91.7% correct detection rate of the targets in water column images. By comparison with other methods, the experimental results prove the validity and accuracy of the proposed method, and show potential applications of our method in the exploration and research on ocean resources.

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Analysis of GNSS, Hydroacoustic and Optoelectronic Data Integration Methods Used in Hydrography

Cited by 13 publications

References 46 publications

Analysis of Terrain Modelling Methods in the Coastal Zone

Analysis of Terrain Modelling Methods in the Coastal Zone

Integration Data Model of the Bathymetric Monitoring System for Shallow Waterbodies Using UAV and USV Platforms

Bubble Plume Target Detection Method of Multibeam Water Column Images Based on Bags of Visual Word Features

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