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  • 标题:Use of Hyperspectral and Laser Scanning Data for The Characterization of Surfaces In Urban Areas
  • 本地全文:下载
  • 作者:D. Lemp ; U. Weidner
  • 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:2004
  • 卷号:XXXV Part B7
  • 页码:1011-1016
  • 出版社:Copernicus Publications
  • 摘要:A recent project of the Engler-Bunte-Institute (EBI), chair of water chemistry, and the Institute of Photogrammetry and Remote Sensing (IPF) aims at the quantitative assessment of pollutants on urban surfaces by chemical analysis and image processing methods. The motivation of this project is the fact that nowadays a better part of the rain water from sealed urban surfaces is treated in sewage plants, although this might not be necessary, because the load of pollutants of the first .ush is much higher than in the following run-off. Therefore, the dimensioning of sewage systems may be adopted to this observation and costs may be reduced. In the project, the research focus of EBI is the chemical analysis of washed off pollutants and modelling of the resulting pollution (run-off), whereas the research at IPF deals with the characterization of urban surfaces, namely their geometry (slope, exposition, size) and their surface material. For this purpose two different types of data are used: hyperspectral and laser scanning data with 4 and 1 m planimetric resolution respectively. We combine these data sets of high geometric and spectral resolution to create a detailed map of sealed urban surfaces. The laser scanning data will not only be used to derive geometric properties of the surfaces, but also to improve the classification of materials as it helps for the discrimination of roof and ground surface materials with similar spectra. The paper will present first results of data analysis, which will be focussed on roof surfaces in a first step
  • 关键词:Hyper spectral; LIDAR; Reconstruction; Classification; Urban
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