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  • 标题:Combined use of lidar and quickbird data for the generation of land use maps
  • 本地全文:下载
  • 作者:O. Viñas ; A. Ruiz ; R. Xandri
  • 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 7
  • 出版社:Copernicus Publications
  • 摘要:For years, many efforts have been made to develop automated procedures for land use map production using remote sensing image data. However, the situation is still characterised by a considerable operation gap. This gap is even higher since high resolution digital imagery is available. Usual image analysis procedures have had considerable difficulties dealing with the information content of high resolution imagery. Users are moving from pixel oriented classifiers to object oriented analysis systems in order to manage properly the rich information present in those images. Looking for more information is a complementary way of improving the classification results, in parallel to improve image analysis tools. The main purpose of the project was to analyse the benefits and difficulties of combining information from an airborne LIDAR and images from Quickbird satellite. The first analyses made in an area of 36km x 26km located in the southwest of Spain, permit us to derive some conclusions: The combined analysis of high resolution images from space borne sensors and LIDAR information obtained from an airborne platform demand a very precise georeferencing processes to guarantee their perfect overlapping. The use of processes based on objects, instead of pixels, allows handling a wider set of variables as classification parameters (objects shape, relations between objects, textures), variables with more physical sense than exclusively the digital pixels values. The information provided by LIDAR sensor is related to a characteristic of the objects (its height) not considered by the conventional multispectral sensors and allows a significant improvement on land use map quality
  • 关键词:Image Classification; LIDAR; Quickbird; eCognition
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