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  • 标题:Avoiding the Blue Roof Data during Extracting Vegetation from High Resolution Images
  • 本地全文:下载
  • 作者:Badawi Rami ; Feng Xuezhi ; Xiao Pengfeng
  • 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:2009
  • 卷号:XXXVIII-7/C4
  • 页码:88-91
  • 出版社:Copernicus Publications
  • 摘要:The very high resolution multispectral satellites imagery, such as IKONOS and Quickbird satellite provides a level of detail compatible with urban mapping, it collect images which are a need to classify the land use and land cover in urban sites. Some methods have been developed to extract the information from these images. The texture algorithms for this test area represent the vegetation depend on Normalized Differences (ND), and Normalized Difference Vegetations Indices (NDVI). Global Environment Monitoring Index (GEMI) has been adopted to calcify the land cover in the study area while a new equation used to eliminate the non vegetation pixel such as blue roof, depend on the reflectance spectrum of items in the image. The study covers Nanjing, China. There are many blue roofs factory building, such as medicine factories and electronics workshops, and some houses. The case study for this test is located in Guluo district around the XuanWu Lake. The investigation shows that the urban vegetation cover in this district is distorted by the blue roofs, and considers how this can be then how it can be avoided
  • 关键词:Blue roof; Extraction vegetation; Global Environment Monitoring Index; land cover; Nanjing; Quick Birds
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