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Digital terrain modeling - principles and methodology
Digital terrain representation. Data Acquisition Methodology. Terrain Surface Modeling (Reconstruction). Algorithms for Triangular Irregular Network Formation. Interpolation Methods. Data QualityExpand
Automated building generalization based on urban morphology and Gestalt theory
The methodology described brings together a number of well-developed theories/techniques, including graph theory, Delaunay triangulation, the Voronoi diagram, urban morphology and Gestalt theory, in such a way that multiscale products can be derived. Expand
Algorithmic Foundation of Multi-Scale Spatial Representation
Providing a mathematical foundation, Algorithmic Foundation of Multi-Scale Spatial Representation presents comprehensive coverage of all known algorithms available for the geometric transformationsExpand
In digital terrain model (DTM) production, one important concern is the accuracy and a comprehensive measure of DTM accuracy is of significance. In this paper, the existing measures are evaluated;Expand
A comparative study of the accuracy of digital terrain models (DTMs) based on various data models
Abstract This paper describes a comparative study of the accuracies of digital terrain models (DTMs) derived from four different data models, namely, contour data only, contour data with additionalExpand
Quantitative measures for spatial information of maps
A set of new quantitative measures, for metric information, topological information and thematic information, are proposed and it is found that the metric information is more meaningful than statistical information, and the new index for topological Information is more Meaningful than the existing one. Expand
A Voronoi-based 9-intersection model for spatial relations
The Voronoi-based 9-intersection model (V9I) can also distinguish additional relations which are beyond topological relations, such as high-resolution disjoint relations and relations of complex spatial entities. Expand
Algorithms for automated line generalization1 based on a natural principle of objective generalization
A new set of algorithms for locally–adaptive line generalization based on the so-called natural principle of objective generalization is described, which is compared with benchmarks based on both manual cartographic procedures and a standard method found in many geographical information systems. Expand
Multivariate statistical analysis of measures for assessing the quality of image fusion
A multivariate statistical analysis is described of 27 measures of image fusion quality to reduce redundancy and find comparatively independent measures for assessing the quality of fused images. Expand
Effects of Various Factors on the Accuracy of DEMs: An Intensive Experimental Investigation
A series of tests on the accuracy of DEMs is described. The effects of four factors on DEM accuracy have been tested, i.e., the accuracy, the density of source data, the characteristics of theExpand