Abstract
This paper presents a method for integrating data acquired by unmanned surface vehicles and unmanned aerial vehicles. The aim of this work was to create a uniform bathymetric surface extending to the shoreline. Such a body of water is usually characterized by ultra-shallow depths, which makes measurement impossible even with hydrographic autonomous vessels. Bathymetric data acquired by the photogrammetric method are, however, characterized by large errors with increasing depth. The presented method is based on processing of two data sets using a bathymetric reference surface and selection of points on the basis of generated masks. Numerical bathymetric models created by interpolation methods confirmed the usefulness of the concept adopted.
Highlights
IntroductionMethodology for Shallow waters are among the most interesting and exploited areas on the Earth
The main research problem related to the use of photogrammetric data is the answer to the question, to what depth can these data be used to develop a digital bathymetric model? For this purpose, we propose a solution based on the creation of a bathymetric reference surface, which was developed from data acquired by a single-beam echo sounder mounted on a unmanned surface vehicles (USVs)
Important elements of the proposed method are the acquisition of unmanned aerial vehicle (UAV) data using underwater ground control points (GCPs) points, the use of a ground class point cloud, the creation of a mask based on the bathymetric reference surface, and the filtering of points above the water surface
Summary
Methodology for Shallow waters are among the most interesting and exploited areas on the Earth They are accessible and have multiple uses, for example, for unique environmental observation and tourist activities, and pose a number of technological and research challenges. They cover areas in the coastal zones of the seas and oceans and inland waters, such as lakes, rivers, and artificial reservoirs. Many techniques have been developed over the years to present topography and bathymetry in the coastal zones and shallow waters These issues are still a research challenge, and as a result numerous publications with various approaches to solve them are published. We are undertaking the problem of building a digital bathymetric model (DBM) [3] based on integrated data from novel measurement techniques on unmanned vehicles
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