A Novel Algorithm for Railway Tracks Detection using Satellite Imagery

نویسندگان

  • Muazzam Maqsood
  • Ali Javed
  • Nadeem Majeed
  • Li Cheng
  • Minglun Gong
  • Xin Chen
  • Houjin Chen
  • Huili Zhao
  • Guofeng Qin
  • Xingjian Wang
  • Xiaochuan Zhao
  • Peizhi Liu
  • Xinxin Zhao
چکیده

Image processing applications have their wide ranged importance in today's world. Railway track detection is one of the hot research areas in visioning systems. An efficient algorithm and high quality images of railway tracks are required for accomplishing the desired task. Images produced by Google maps and Google earth are generally not so extraordinary. Their degraded quality affects the results of detection process. Images will be processed through railway detection algorithms and in the end results are compared with the low quality images in the context of someparameters such as accuracy. Also, the developed algorithm can be included in Geographic information System, so that it can be a base algorithm for other researchers to work on.

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تاریخ انتشار 2013