Rural residential area extraction from UAV remote sensing imagery
HU Yong1,2, ZHANG Xiaocheng1,2, MA Zezhong1,2, ZHOU Zhiyue1,2
1. Chongqing Institute of Surveying and Planning for Land Resources and Housing, Chongqing 400020, China;
2. Chongqing Engineering Research Center of Land Use and Remote-Sense Monitoring, Chongqing 400020, China
In order to improve the automatic level of information extraction, this paper proposes an automated rural residential area detecting procedure from UAV remote sensing imagery based on object-oriented segmentation. Firstly, the bilateral filtering is performed on UAV remote sensing image to eliminate the image noise. Secondly, the filtered image is segmented based on mean shift clustering algorithm. Thirdly, the rural residential area is detected from the segmented image according to the features of rural residential objects. This method was tested using UAV remote sensing images, and the result showed that the rural residential area could be extracted effectively, with an average accuracy about 92%.
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2016, Vol. 28 
