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Identification of power poles based on satellite stereo images using graph-cut algorithm

机译:基于图切算法的基于卫星立体图像的电线杆识别

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Monitoring vegetation encroachment for high voltage transmission lines is a challenging job for electrical distribution companies. The encroachment interrupts electrical supply to industrial sectors and residential areas. It also endures a great cost to the authorities for maintenance and damage compensation. This brings a necessity for companies to monitor the vegetation near power lines. To solve these issues, existing monitoring methods are time consuming and expensive. In this paper, we proposed a new method to detect the vegetation using satellite stereo imagery. The method is based on Graph-Cut algorithm which applied on satellite stereo images. We incorporated the ordering constrain with Graph-Cut on stereo images to detect occlusion on stereo matching algorithm. This will increase the accuracy of the disparity map which is required task for identification of power poles near vegetation based on satellite stereo images. In conclusion, based on the results, Our proposed Graph-Cut algorithm produces more accurate disparity maps than the existing matching algorithm used for disparity calculation.
机译:对于配电公司来说,监视高压输电线路的植被入侵是一项艰巨的任务。侵占中断了向工业部门和居民区的电力供应。这也给当局造成了巨大的维护和损害赔偿费用。这给公司带来了监测电力线附近植被的必要性。为了解决这些问题,现有的监视方法既费时又昂贵。在本文中,我们提出了一种利用卫星立体图像检测植被的新方法。该方法基于适用于卫星立体图像的Graph-Cut算法。我们将排序约束与Graph-Cut结合在立体图像上,以检测立体匹配算法上的遮挡。这将提高视差图的准确性,这是基于卫星立体图像识别植被附近的电线杆所需的任务。总而言之,基于结果,我们提出的Graph-Cut算法比用于视差计算的现有匹配算法可生成更准确的视差图。

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