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  • 标题:AN OPEN STANDARD-BASED SENSOR WEB APPROACH FOR ONLINE 3D EXTRACTION: USING SENSOR OBSERVATION SERVICE, SENSORML AND RATIONAL FUNCTION MODEL
  • 本地全文:下载
  • 作者:SHL. Liang ; R. Wang ; V. Tao
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2006
  • 卷号:XXXVI Part 1
  • 出版社:Copernicus Publications
  • 摘要:Today, while the computing trend is toward open, web -based and distributed systems, photogrammetry systems still remain desktop or workstation based systems. There are few existing efforts in web photogrammetry, such as ARPEMTEUR system (http://www.arpenteur.net/) . However, the architecture is still using a closed and central design. Closed means the system uses proprietary information encodings and protocols, and cannot interoper ate with other systems. Central means it uses a client -server architecture, which is not scalable. The other problem is the i nteroperability of photogrammetry. Histor ically, photogrammetry has a strong proprietary nature. The proprietary nature limits the use of photogrammetry within a narrowly defined conventional mapping community . B ecause of the limited number of users an d small mar ket size, photogrammetry systems are expensive tools. Recent developments in sensor -independent models such as rational pol ynomials and World Wide Web -based data distribution and processing services expedite the interoperability of photogrammetry. In this paper, w e introduce an open standard -based Sensor Web approach for online 3D extraction . The proposed design and architectu re is open, distributed and interoperable comparing to existing web photogrammetry systems
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