2012
DOI: 10.1007/978-3-642-28493-9_48
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Effect of Density of Measurement Points Collected from a Multibeam Echosounder on the Accuracy of a Digital Terrain Model

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Cited by 11 publications
(3 citation statements)
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“…The numerical model of seabed [9][10][11][12][13][14][15] is constructed by interpolating the depth values at the measuring points with the aid of the selected interpolation algorithm. Most usually, the model has the form of a grid of regular squares with depth values attributed to each grid node.…”
Section: High-density Bathymetric Datamentioning
confidence: 99%
“…The numerical model of seabed [9][10][11][12][13][14][15] is constructed by interpolating the depth values at the measuring points with the aid of the selected interpolation algorithm. Most usually, the model has the form of a grid of regular squares with depth values attributed to each grid node.…”
Section: High-density Bathymetric Datamentioning
confidence: 99%
“…Problem of data gathering, post-processing and chart production was discussed by many authors [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35].…”
Section: Introductionmentioning
confidence: 99%
“…These methods make use of a series of differentiated algorithms to establish the values of interpolated parameters at node points. The selection of interpolation method in the case of unevenly distributed measurement data should be determined by a number of features characterising such datasets: the degree of homogeneity of data dispersion, number of points per unit area, population variance (degree of data changeability), and the type of surface reflected by the data (Maleika et al 2012a).…”
Section: Introductionmentioning
confidence: 99%