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  • 标题:Markov Random Fields (MRF) - Based Texture Segmentation for Road Detection
  • 本地全文:下载
  • 作者:Ralf Reulke ; Artur Lippok
  • 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:2008
  • 卷号:XXXVII Part B3b
  • 页码:615-620
  • 出版社:Copernicus Publications
  • 摘要:Traffic observation from airplane platforms using digital cameras is a fairly new application of Video Image Detection Systems (VIDS). These systems are also particularly interesting for observations at major events or in catastrophe situations. Applied systems are small or medium-sized panchromatic cameras. In order to concentrate on road image processing algorithms were applied to distinguish between urban and surrounding vegetation areas. Therefore, texture-based segmentation seems to be an adequate approach, because of the panchromatic images. Attention is focused on MRF, which are examined concerning their use for texture- based extraction of street space in aerial photographs
  • 关键词:Mapping; Photogrammetry; Vision; Fusion; Identification; Monitoring; Real-time; Platforms
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