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Application of Artificial Neural Network for Height Modelling
2015
International Journal on Recent and Innovation Trends in Computing and Communication
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The objective of this research is to test the possibility of using artificial neural networks method for height modelling in different topographic areas, and assessing its resultant precision in comparison ...
If a datum surface is defined for the observed points, the heights of these points (reduced levels) can be computed. In ordinary orthometric levelling Geoid surface is usually used as a datum. ...
Digital Height Model (DHM), Digital Ground Model (DGM), and Digital Terrain Elevation Model (DTEM) are all common terms. ...
doi:10.17762/ijritcc2321-8169.1503103
fatcat:syduca5mrjd67eh6izxf75dyh4
Accuracy Assessment of Digital Elevation Models based on Approximation Theory
2009
Photogrammetric Engineering and Remote Sensing
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Introduction Digital elevation models (DEM) are essential to various applications such as terrain modeling and watershed delineation. ...
Equation 1 shows that the total error in a DEM point is not random but a mixture of random and systematic error. ...
His research has focused on digital elevation model generation and accuracy assessment and computational geometry. ...
doi:10.14358/pers.75.1.49
fatcat:zs3id6siy5aoflkxuvvly2bioe
Study of the TIN Gross Error Detection based on Terrain Inclination
2011
Journal of clean energy technologies
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errors, and points out that gross errors and random errors are made in the process of image matching and orientation. ...
can eliminate serious distortions of contours in points of gross errors. ...
Compared with the random error, the gross error produced by the mismatching of image in image correlation distorts the space variation reflected by digital elevation model more seriously. ...
doi:10.7763/ijcte.2011.v3.325
fatcat:rsogthalkfesdeloc77nd5z2dm
Digital elevation model uncertainty and hazard analysis using a geophysical flow model
2012
Proceedings of the Royal Society A
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This paper describes a new methodology to quantify the variation in the output of a computational fluid dynamics model for block and ash flows, when the digital elevation model (DEM) of the terrain and ...
This paper extends this approach to include the effect of terrain error and uncertainty. The results are based on potential flows at Mammoth Mountain, CA, and Galeras Volcano, Colombia. ...
The work and opinions expressed herein are those of the authors alone and do not reflect the opinion of NASA. We are grateful to JPL for the construction and distribution of the TOPSAR dataset. ...
doi:10.1098/rspa.2011.0711
fatcat:tpfksn274ne4bapxrff3gzhyjy
Digital terrain model height estimation using support vector machine regression
English
2015
South African Journal of Science
English
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The high accuracy furnished by SVMR in this experiment attests that SVMR is a promising model for digital terrain model interpolation. ...
Digital terrain model interpolation is intrinsically a surface fitting problem, in which unknown heights H are estimated from known X-Y coordinates. ...
The box plot in Figure 10a shows Research Article Digital terrain model height estimation error was -0.09. ...
doi:10.17159/sajs.2015/20140153
fatcat:tzbgzcig2rag3po2vpwq4zezru
Quality Assessments of Seafloor Mapping with Multibeam Echo Sounders
[chapter]
2011
Applications and Experiences of Quality Control
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Computation of random measurement errors Random measurement errors in multibeam echo sounder data are functions of the kind of measurement equipment used; the sea depth, the terrain slope and the weather ...
These methods can be used to compute digital terrain models with regular sampling patterns from scattered data. ...
The following example will clarify the role The rich palette of topics set out in this book provides a sufficiently broad overview of the developments in the field of quality control. ...
doi:10.5772/15668
fatcat:xl3m73b5szei7geli47skhjbqm
Page 337 of American Society of Civil Engineers. Collected Journals Vol. 119, Issue 3
[page]
1993
American Society of Civil Engineers. Collected Journals
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“The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models.” Int. J. Hydrological Process, 5(1), 59-79.
Saupe, D. (1988). ...
“Digital terrain modelling: a review of hydrological, geomorphological and biological applications.” Int. J. of Hydrological Process, 5(1), 3-30.
Morris, E. M., and Woolhiser, D. A. (1980). ...
Uncertainties associated with digital elevation models for hydrologic applications: a review
2007
Hydrology and Earth System Sciences
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A considerable amount of research has been conducted to address uncertainty associated with error in digital elevation models (DEMs) and the 5 propagation of error to derived terrain parameters. ...
.: Digital Elevation Model Networks (DEMON): A model of flow over hillslopes for computation of contributing and dispersal areas, Water Resour. Res., 5 30(6), 681-1692, 1994. ...
., and Rodriguez-Iturbe: On the extraction of channel networks from digital elevation data, in: Terrain Analysis and Distributed Modeling In Hydrology, edited by: Beven, K. and Moore, I. ...
doi:10.5194/hess-11-1481-2007
fatcat:w4ud7gtt7nd5ziyzz4es4uyq5i
Uncertainties associated with digital elevation models for hydrologic applications: a review
2006
Hydrology and Earth System Sciences Discussions
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A considerable amount of research has been conducted to address uncertainty associated with error in digital elevation models (DEMs) and the 5 propagation of error to derived terrain parameters. ...
.: Digital Elevation Model Networks (DEMON): A model of flow over hillslopes for computation of contributing and dispersal areas, Water Resour. Res., 5 30(6), 681-1692, 1994. ...
., and Rodriguez-Iturbe: On the extraction of channel networks from digital elevation data, in: Terrain Analysis and Distributed Modeling In Hydrology, edited by: Beven, K. and Moore, I. ...
doi:10.5194/hessd-3-2343-2006
fatcat:fbaxlxht7jaczazen765sqzosy
Flight test of radar altimeter enhancement for terrain-referenced guidance
1995
Journal of Guidance Control and Dynamics
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The bias of the radar altimeter measurement is reflected in the random- walk model. Similar models for terrain-referenced altitude errors have been employed in the literature. ...
The first state is modeled as a random walk:
x) = wy (3)
where w, is a Gaussian zero-mean white noise with variance ao? of 20°ft?/s. ...
doi:10.2514/3.21450
fatcat:uxvbysutqfbeha2fxsv3cldzwy
Modelling vertical error in LiDAR-derived digital elevation models
2010
ISPRS journal of photogrammetry and remote sensing (Print)
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A hybrid theoretical-empirical model has been developed for modelling the error in LiDAR-derived digital elevation models (DEMs) of non-open terrain. ...
The theoretical component seeks to model the propagation of the sample data error (SDE), i.e. the error from light detection and ranging (LiDAR) data capture of ground sampled points in open terrain, towards ...
Elements of this research have been made possible through the project entitled ''Integration and exploratory analysis of multisource geospatial data for monitoring and modelling the evolution and vulnerability ...
doi:10.1016/j.isprsjprs.2009.09.003
fatcat:zuwufjphxbgq7kgvvsbriqdr3q
The Stability of The Longley-Rice Irregular Terrain Model for Typical Problems
[article]
2011
arXiv
pre-print
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In this paper, we analyze the numerical stability of the popular Longley-Rice Irregular Terrain Model (ITM). ...
This model is widely used to plan wireless networks and in simulation-validated research and hence its stability is of fundamental importance to the correctness of a large amount of work. ...
This result provides confidence in the stability of the output of the ITM model as well as other similar models that compute diffraction over terrain (e.g, [3, 11] Although it may be possible to automate ...
arXiv:1109.1843v1
fatcat:yh265u7ycramfo3wywlenm3ssa
ANALYSIS AND VALIDATION OF GRID DEM GENERATION BASED ON GAUSSIAN MARKOV RANDOM FIELD
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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In every case, the remaining points (scattered observed points) were used to obtain a 1 m grid spacing GMRF-interpolated Digital Surface Model (DSM) whose accuracy was assessed by means of the set of previously ...
Finally, the GMRF method was applied to a real-world case consisting of filling the LiDAR-derived DSM gaps after manually filtering out non-ground points to obtain a Digital Terrain Model (DTM). ...
It was also supported by the National R+D+i Plan Project DPI2014-56364-C2-1-R of the Spanish Ministry of Economy and Competitiveness and ERDF funds. ...
doi:10.5194/isprs-archives-xli-b2-277-2016
fatcat:ton2rnsv3namhpbb2np652kciy
The ConMap approach for terrain-based digital soil mapping
2010
European Journal of Soil Science
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These differences are used as features in random forest regressions. ...
Crossvalidation root mean square error (RMSE) decreased from 16.1 when the standard digital terrain analysis was used to 11.2 when ConMap was used. ...
Acknowledgements We are grateful to the Federal Geological Surveys of Rhineland-Palatinate and Hesse for providing the data. ...
doi:10.1111/j.1365-2389.2009.01205.x
fatcat:xk5m3xyn6nen5ptbdrxybc44ya
A Comparative Study of Digital Terrain Data for Visibility Analysis in the Planning and Management of Scenic Resources
2015
Journal of Geodesy and Geomatics Engineering
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A DEM (digital elevation model) was once used to calculate viewsheds in the early days of GIS applications. ...
Using digital terrain data acquired for part of the Nez Perce National Forest in Idaho, calculation accuracy for viewsheds was scrutinized in depth. ...
Acknowledgments Many thanks go to the Forest Sciences Laboratory of the US Forest Service Rocky Mountain Research Station located in Moscow, Idaho, USA for providing this researcher with a set of LiDAR ...
doi:10.17265/2332-8223/2015.04.001
fatcat:oupkvb237ncljlru4npgpph3de
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