A new algorithm for automatic processing of bathymetric data

Canepa, Gaetano; Bergem, O.; Pace, Nicholas G.

doi:10.1109/joe.2002.808204

Cited by 15 publications

(23 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Robust automatic interpolation methods have been proposed in the literature: adapted triangulation in 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 Canepa et al (2003), or simulated annealing in Basu and Maczkowska (2001). However, these methods are not readily available in current GIS software.…”

Section: Interpolation Algorithm and Correction Rulesmentioning

confidence: 99%

“…These allow their users to obtain results quickly, although they are closed systems (or "black boxes") that do not allow tuning the process to particular situations (Simrad, 1999). There are also other ad hoc bathymetry algorithms described in the bibliography, that robustly perform outlier detection, local adaptation and interpolation (Canepa et al, 2003); however, they are not readily available to the users, nor integrated in GIS software packages . 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 The aim of this paper is to develop and test a simple methodology for single-beam data acquisition and postprocessing, in order to obtain a detailed bathymetry of coastal zones with very low costs and achievable using a single beam echosounder and Free Open Source Software (F/OSS), in the sense of widely available and customizable tools such as GIS software.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Fast and low-cost method for VBES bathymetry generation in coastal areas

Sánchez-Carnero

Aceña

Rodríguez‐Pérez

et al. 2012

Estuarine, Coastal and Shelf Science

View full text Add to dashboard Cite

Section: Interpolation Algorithm and Correction Rulesmentioning

confidence: 99%

mentioning

confidence: 99%

Fast and low-cost method for VBES bathymetry generation in coastal areas

Sánchez-Carnero

Aceña

Rodríguez‐Pérez

et al. 2012

Estuarine, Coastal and Shelf Science

View full text Add to dashboard Cite

“…Often, this is a very tedious and time consuming process. Canepa et al [9] give a good overview of different types of algorithms and tools that have been proposed in the literature.…”

Section: Previous Workmentioning

confidence: 99%

“…Also, determining the best way to use information from the local neighbourhood to select hypotheses is seen as an open problem [8]. Most other methods such as the ones reviewed by Canepa et al [9] also base their decisions in one way or another on local neighbourhoods, leading to essentially the same problem as with CUBE.…”

Section: Previous Workmentioning

confidence: 99%

Cleaning massive sonar point clouds

Arge

Larsen

Mølhave

et al. 2010

Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems

View full text Add to dashboard Cite

We consider the problem of automatically cleaning massive sonar data point clouds, that is, the problem of automatically removing noisy points that for example appear as a result of scans of (shoals of) fish, multiple reflections, scanner self-reflections, refraction in gas bubbles, and so on.We describe a new algorithm that avoids the problems of previous local-neighbourhood based algorithms. Our algorithm is theoretically I/O-efficient, that is, it is capable of efficiently processing massive sonar point clouds that do not fit in internal memory but must reside on disk. The algorithm is also relatively simple and thus practically efficient, partly due to the development of a new simple algorithm for computing the connected components of a graph embedded in the plane. A version of our cleaning algorithm has already been incorporated in a commercial product.

show abstract

“…Using SBS to obtain high-resolution seabed terrain needs dense surveying lines, which are low-efficiency and high-cost. Using MBS, one can carry out a large-scale bathymetric measurement, but the interval of surveying points in a ping will be enlarged and the bathymetric resolution will be decreased with the increases of water depth and beam incident angle [6][7][8]. Side-scan sonar (SSS) is height from the SSS waterfall image, the SSS towfish depth provided by a built-in pressure sensor and GNSS tidal level observed by the GNSS receiver mounted in surveying vessel.…”

Section: Introductionmentioning

confidence: 99%

Reconstructing Seabed Topography from Side-Scan Sonar Images with Self-Constraint

2018

View full text Add to dashboard Cite

Abstract:To obtain the high-resolution seabed topography and overcome the limitations of existing topography reconstruction methods in requiring external bathymetric data and ignoring the effects of sediment variations and Side-Scan Sonar (SSS) image quality, this study proposes a method of reconstructing seabed topography from SSS images with a self-constraint condition. A reconstruction model is deduced by Lambert's law and the seabed scattering model. A bottom tracking method is put forward to get the along-track SSS towfish heights and the initial seabed topography in the SSS measuring area is established by combining the along-track towfish heights, towfish depths and tidal levels obtained from Global Navigation Satellite System (GNSS). The complete process of reconstructing seabed topography is given by taking the initial topography as self-constraint and the high-resolution seabed topography is finally obtained. Experiments verified the proposed method by the data measured in Zhujiang River, China. The standard deviation of less than 15 cm is achieved and the resolution of the reconstructed topography is about 60 times higher than that of the Digital Elevation Model (DEM) established by bathymetric data. The effects of noise, suspended bodies, refraction of wave in water column, sediment variation, the determination of iteration termination condition as well as the performance of the proposed method under these effects are discussed. Finally, the conclusions are drawn out according to the experiments and discussions. The proposed method provides a simple and efficient way to obtain high-resolution seabed topography from SSS images and is a supplement but not substitution for the existing bathymetric methods.

show abstract

A new algorithm for automatic processing of bathymetric data

Cited by 15 publications

References 11 publications

Fast and low-cost method for VBES bathymetry generation in coastal areas

Fast and low-cost method for VBES bathymetry generation in coastal areas

Cleaning massive sonar point clouds

Reconstructing Seabed Topography from Side-Scan Sonar Images with Self-Constraint

Contact Info

Product

Resources

About