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authors Dorninger, Peter
year 2003
title XML Technologies and Geodata
source CORP 2003, Vienna University of Technology, 25.2.-28.2.2003 [Proceedings on CD-Rom]
summary Photogrammetry and Remote Sensing are very important methods for acquisition of geodata. During the previous decade, severalrevolutionary changes occurred in this area. Until the appearance of automated image analysis tools, it was necessary to measureselected points in the images given. At that time, it was much faster and even cheaper to get images of real world objects compared tothe time and money consuming process of manual analyses. So one tried to minimize this effort by measuring only characteristicpoints such as edges, break-lines, peaks and valleys and, for sure, a grid with a given grid step which was selected to meet the efforts.Lots of information in the images was neglected.Digital point matching algorithms and airborne laser scanning provide many new possibilities. The only restriction on spatialresolution is the one of the used sensors. Given a more precise image sensor, the matching algorithm will be able to match moresurface points; given a higher frequency laser scanner, more points can be measured of the same area. And those sensors get moreand more precise every day. Besides, those techniques allow for fast repetition which is necessary to create time series as a basis for4D modeling! However, this fact is accompanied by several problems concerning the capability of available computers. Some years ago, as the first ideas of 3D city models arose, it was very difficult to acquire the necessary data. Today the new sensors and methods have thenecessary capability, but we are not able to handle the available datasets efficiently, because of shortcomings in the past. In a time ofworld wide data exchange through the internet and global datasets, it is necessary to have efficient methods and algorithms tomanage the available data. There is a need for international, vendor independent data exchange and management standards that haveto be accepted and supported by the industry. This article is going to present several methods of data encoding using standardized data formats based on eXtensible Markup Language (XML). After an introduction to this kind of data encoding, two derived applications for management, storage and presentation of geodata are described. As XML data is written in text format, the datasets have the ability to become rather long.Therefore some promising methods to reduce the amount of data are introduced afterwards. XML documents are mainly used fordata exchange between databases. Therefore the capabilities of commonly used database systems for storage of geodata are describedin the end and current implementation results of the Institute of Photogrammetry and Remote Sensing (I.P.F.) are presented.
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