Rural residential area extraction from UAV remote sensing imagery

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%.