Fast Approximation of Visibility Dominance Using Topographic Features as Targets and the Associated Uncertainty

Rana, Sanjay

doi:10.14358/pers.69.8.881

Cited by 29 publications

(24 citation statements)

References 10 publications

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“…Using the φ phase difference, interferometric systems in the topographic elevation measurement in order to give a three‐dimensional image . The InSAR system is used for remote sensing, imaging, and also to study the geophysical phenomena that have limits of functionality.…”

Section: Resultsmentioning

confidence: 99%

Closed form of topographic elevation in the context of interferometric synthetic aperture

Maakouf

Redada

Benslama

2016

Int J Numerical Modelling

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This article deals with the large problem of interferometric synthetic aperture. Our analysis begins with the study of transverse distance influence and the orientation of the interferometric baseline. The processing of elevation problem solving relative to the horizontal resolution of conventional synthetic aperture radar has been carried out, including its ambiguity to choose the optimum parameters of the interferometer and thus improve the surface topography. We found out indeed that when we take a picture of the earth's surface at an angle of inclination of the baseline α = π / 4, the best results are obtained. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Resultsmentioning

confidence: 99%

Closed form of topographic elevation in the context of interferometric synthetic aperture

Maakouf

Redada

Benslama

2016

Int J Numerical Modelling

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“…Other methods of speeding up the computation have included the use of Triangular Irregular Networks (TINs) (De Floriani et al. ), decreasing the number of observer points or PoIs (Rana ), fast viewshed analysis (Wang et al. ), reverse viewsheds (Kidner et al.…”

Section: Related Workmentioning

confidence: 99%

“…This method compared the angle of a target point to the observer point to the angle of the nearest feature via a moving window, if the angle between the observer and target was greater than the angle between the observer and the nearest feature then the target point was visible. Other methods of speeding up the computation have included the use of Triangular Irregular Networks (TINs) (De Floriani et al 1994), decreasing the number of observer points or PoIs (Rana 2003), fast viewshed analysis (Wang et al 1996), reverse viewsheds (Kidner et al 1999), and visibility graph theory (O'Sullivan and Turner 2001).…”

Section: Determining Intervisibility and Viewshedsmentioning

confidence: 99%

The Influence of Digital Surface Model Choice on Visibility‐based Mobile Geospatial Applications

Meek

Goulding

Priestnall

2013

Transactions in GIS

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In this work we investigate the effectiveness of different types of visibility models for use within location‐based services. This article outlines the methodology and results for our experiments, which were designed to understand the accuracy and effects of model choices for mobile visibility querying. Harnessing a novel mobile media consumption and authoring application called Zapp, the levels of accuracy of various digital surface representations used by a line of sight visibility algorithm are extensively examined by statistically assessing randomly sampled viewing sites across the 1 km2 study area, in relation to points of interest (POI) across the University of Nottingham campus. Testing was carried out on three different surface models derived from 0.5 m LiDAR data by visiting physical sites on each surface model with 14 random point of interest masks being viewed from between 10 and 16 different locations, totalling 190 data points. Each site was ground‐truthed by determining whether a given POI could be seen by the user and could also be identified by the mobile device. Our experiments in a semi‐urban area show that choice of surface model has important implications for mobile applications that utilize visibility in geospatial query operations.

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“…A good overview of the algorithms, storage formats and techniques to calculate visibility may be found in De Floriani and Magillo's (2003) article. Much of the research has focused on improving the performance of the algorithm (De Floriani et al 2000, Rana and Morley 2002, Rana 2003, Ying et al 2006, which has become increasingly necessary since the introduction of high-resolution DSMs such as those sourced from LiDAR.…”

Section: Visibility Modelling Backgroundmentioning

confidence: 99%

Incorporating vegetation into visual exposure modelling in urban environments

Bartie

Reitsma

Kingham

et al. 2011

International Journal of Geographical Information Science

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Visual exposure modelling establishes the extent to which a nominated feature may be seen from a specified location. The advent of high-resolution light detection and ranging (LiDAR)-sourced elevation models has enabled visual exposure modelling to be applied in urban regions, for example, to calculate the field of view occupied by a landmark building when observed from a nearby street. Currently, visual exposure models access a single surface elevation model to establish the lines of sight (LoSs) between the observer and the landmark feature. This is a cause for concern in vegetated areas where trees are represented as solid protrusions in the surface model totally blocking the LoSs. Additionally, the observer's elevation, as read from the surface model, would be incorrectly set to the tree top height in those regions. The research presented here overcomes these issues by introducing a new visual exposure model, which accesses a bare earth terrain model, to establish the observer's true elevation even when passing through vegetated regions, a surface model for the city profile and an additional vegetation map. Where there is a difference between terrain and surface elevations, the vegetation map is consulted. In vegetated areas the LoS is permitted to continue its journey, either passing under the canopy with clear views or partially through it depending on foliage density, otherwise the LoS is terminated. This approach enables landmark visual exposure to be modelled more realistically, with consideration given to urban trees. The model's improvements are demonstrated through a number of real-world trials and compared to current visual exposure methods.

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Fast Approximation of Visibility Dominance Using Topographic Features as Targets and the Associated Uncertainty

Cited by 29 publications

References 10 publications

Closed form of topographic elevation in the context of interferometric synthetic aperture

Closed form of topographic elevation in the context of interferometric synthetic aperture

The Influence of Digital Surface Model Choice on Visibility‐based Mobile Geospatial Applications

Incorporating vegetation into visual exposure modelling in urban environments

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