Rural residential area extraction from UAV remote sensing imagery
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摘要: 针对无人机遥感技术应用中信息提取自动化、智能化不足的问题,提出了一种基于面向对象分割的农村房屋信息提取方法。该方法首先利用双边滤波器滤掉影像中的噪声,然后利用移动均值算法分割影像,最后根据分割后房屋对象的特征建立提取规则,对房屋信息进行提取。实验结果表明,该方法可有效提取无人机遥感影像中的农村房屋信息,平均提取精度约为92%。Abstract: 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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Key words:
- UAV /
- object-oriented segmentation /
- mean shift /
- information extraction
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