Detecting Building Changes from Aerial Images Using Height Information

نویسندگان

  • Shunping Ji
  • Xiuxiao Yuan
چکیده

A new approach of detecting urban building changes using edge detection and VLL (vertical line locus) matching method is presented. The approach mainly contents three steps. First step, edges are extracted using EDISON edge detector and then edge splitting and linear regression is done to get linear edges which may belong to buildings. Second step, buildings are verified and located by stereo matching and edge grouping technique. Third step, buildings are validated if changed according height change using VLL matching strategy. Two multi-temporal aerial stereopairs are used for test, and results proved our approach is encouraging.

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تاریخ انتشار 2008