Shadow information recovery in urban areas from very high resolution satellite imagery

  • Authors:
  • Y. Chen;D. Wen;L. Jing;P. Shi

  • Affiliations:
  • State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing, China;Transportation College, Southeast University, Nanjing, China;State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing, China;State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing, China

  • Venue:
  • International Journal of Remote Sensing
  • Year:
  • 2007

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Abstract

It is usually quite difficult to extract and recover shadow information in the urban environment from remote sensing imagery. This paper describes the study of precisely detected shadow in satellite images and recovering information from the surface covered in shadow from very high resolution (VHR) satellite imagery.