NDLI: Automated revsion of GIS databases

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Extending Ladkin's algebra on non-convex intervals towards an algebra on union-of regions

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Metric operations on fuzzy spatial objects in databases

Prototype for wrapping and visualizing geo-referenced data in a distributed environment using XML technology

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Scripting in GIS applications: experimental standards-based framework for perl

Query operations for moving objects database systems

Dynamic 3D maps as visual interfaces for spatio-temporal data

An integrity constraints driven system for updating spatial databases

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Improving co-operative working in the utility industry through mobile context aware geographic information systems

A location-aware graphical BBS for mobile environments

A mechanism to detect changing access patterns and automatically migrate distributed R-tree indexed multidimensional data

Spatially distributed databases on sensors

Cartography and geographic information systems as semiotic systems: a comparative analysis

Generalized map coloring for use in geographical information systems

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Geographical analysis in SAP business information warehouse

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Automated revsion of GIS databases

Content Provider	ACM Digital Library
Author	Fritsch, Dieter Walter, Volker
Abstract	Digital spatial data are underlying strong temporal changes. The typical approach of updating these changes is to check the data manually for their correctness by superimposing them on up-to-date orthophotos. The update cycles of large data sets are in the range of several years. At present shorter update cycles are unrealizable for two reasons. The manual inspection of the data is very cost- and time-consuming and aerial photographs for large areas are very often not available in the needed time intervals. However, a decisive turn can be seen in data availability. With new satellite systems, it will be possible to provide up-to-date high resolution orthophotos in short time periods and high quality in the near future. At September 24th, 1999, the optical high resolution satellite IKONOS, developed by the company Space Imaging (http://www.spaceimaging.com), was brought successfully into orbit. Further systems as for example Quickbird of the company EarthWatch, OrbView 3 and 4 of the company ORBIMAGE or EROS A and B of the company West Indian Space will follow shortly (see also [9, 10]). The data which will be delivered from these new satellite systems will close the gap between existing medium resolution satellite data (as for example Spot, Landsat or IRS-1C) and very high resolution data from airborne systems. In near future users will be able to select images from several providers to use them for their mapping tasks. In order to eliminate the still existing bottle-neck of manual updating of GIS data, the Institute of Photogrammetry (ifp), University of Stuttgart developed a software package which is presented in this article.
Starting Page	129
Ending Page	134
Page Count	6
File Format	PDF
ISBN	1581133197
DOI	10.1145/355274.355293
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2000-11-01
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Gis Matching Classification Atkis Update Remote sensing
Content Type	Text
Resource Type	Article

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