نتایج جستجو برای: digitial elevation model dem
تعداد نتایج: 2176518 فیلتر نتایج به سال:
Abstract. Quantitative surface analysis through quadratic modelling of Digital Elevation Models (DEMs) is a promising tool for automatically describing the physical environment in ecological studies of terrestrial landscapes. Fundamental topographic variables such as slope, aspect, plan and profile curvature can be simply calculated from the parameters of a conic equation fitted to a DEM window...
This case study concerns vertical errors of five different high-resolution digital elevation models (DEMs) originated from light detection and ranging (LiDAR), interferometric SAR (InSAR) and photogrammetric acquisition. The LiDAR DEM derived from last return points was considered as the reference DEM. The aim was to analyse the statistical and spatial distribution of the residuals and their re...
In this paper, a three-dimensional error model of grid digital elevation model (DEM) is proposed based on the reconstructed contours. Though analyzing the construction of three-dimensional error model, the paper disassembles the three-dimensional error to a series of triangular pyramids and quadrangular pyramids, and it can make the calculation simpler. The three-dimensional error is continuous...
High resolution digital elevation models (DEMs) have been used in many applications such as civic planning, military mapping and navigation, natural hazard risk assessment, to name only a few. It has been a long history of using photogrammetry and dense ground surveys to draw the contour lines of the terrain and create the elevation model. Nowadays high precision DEMs with the vertical resoluti...
In this article we present a framework for modeling a building with a single Digital Elevation Model (DEM). The model is constructed in two stages. A first stage segments the DEM into planar surface patches to describe the building. Then, a polygonalisation stage generates the final polygonal model of the building by using constraints. We use robust estimation methods at different stages of our...
At present, most of the digital data acquisition methods generate Digital Surface Model (DSM) and not a Digital Elevation Model (DEM). Conversion from DSM to DEM still has some drawbacks, especially the removing of off terrain point clouds and subsequently the generation of DEM within these spaces even though the methods are automated. In this paper it was intended to overcome this issue by att...
Digital Terrain Model (Digital Terrain Model acronym DTM) is arbitrary use of a large number of coordinates in three-dimensional x, y, z coordinates of the point on the ground for a form of Statistics said that the terrain surface morphology is the number of attribute information is a space location characteristics and attributes of the terrain described the figures, initially for the automatic...
The hydrological information derived from a digital elevation model is very important in distributed modeling. As part of alpine research on stream network modeling using remote sensing data the northeast Tibetan Plateau, three (DEM) datasets were obtained for purpose features, mainly including channel network, watershed extent and terrain character. sources include airborne light detection ran...
We present a system for modeling buildings from a single correlation-based Digital Elevation Model (DEM). The model is constructed in two stages. The first stage segments the DEM into planar surface patches that describe the building. The second stage generates the final polygonal model of the building using weak geometric constraints. We use robust estimation methods at different stages of our...
As one way of removing the requirement of ground control points (GCPs) for precise mapping of high resolution satellite images (HRSIs), this paper proposes to use existing low-resolution elevation dataset. We adapted DEM matching technique, originally proposed to solve absolute orientation of aerial images from perspective sensors, for establishing absolute orientation of HRSIs from pushbroom s...
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