A New Building Recognition Algorithm from High Resolution Remote Sensing Imagery
The building recognition from high resolution remote sensing images is an internationally advanced research field. But there are still many difficult to be solved. In this paper, in order to extract and recognize the special building from the high resolution remote sensing images, a new algorithm is presented. First, a self-adaptive Average Absolute Difference Maximum edge enhancement algorithm is presented to enhance the edge of the building and suppress the background at one time. Second, the locally self-adaptive segmentation algorithm is implemented to obtain the binary image. Third, the thinning algorithm is implanted to obtain the single pixel edge of the building and a pruning algorithm is necessary in order to reduce the computation times in the following process. The following step is obtained by the Hough transformation to make the edge of the building into polygon. Finally, an Interior angle chain (IAC) is proposed to recognize the building with different shape. The experimental results demonstrate that the new algorithm can extract the special shape building quickly and accurately.
Building Recognition Self-adaptive enhancement thinning Hough Transformation Interior Angle Chain.
Z Chen GY Wang JG Liu CJ Cheng JH Deng
Intelligence Control, Institute for Pattern Recognition and Artificial Intelligence, HuazhongUnivers Intelligence Control, Institute for Pattern Recognition and Artificial Intelligence, Huazhong Univer
国际会议
桂林
英文
1-5
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）