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首页> 外文会议>2015 IEEE Student Symposium in Biomedical Engineering amp; Sciences >Designing of disparity map based on hierarchical dynamic programming using satellite stereo imagery
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Designing of disparity map based on hierarchical dynamic programming using satellite stereo imagery

机译：基于卫星立体图像的分层动态规划视差图设计

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摘要

Vegetation encroachment and its monitoring near high voltage power line is a challenging problem for electricity distribution companies. Electric supply companies monitor the vegetation/trees near power lines to avoid the blackouts that may occur in case of an improper monitoring of vegetation. The uninterrupted electric power supply is vital for industries, businesses, and daily life. Many approaches are employed to monitor vegetation/trees near the transmission line poles, but these approaches are more time consuming and expensive. In this paper, we have proposed a novel approach to monitor the vegetation near or under the power poles using satellite stereo images which were acquired using QuickBird and IKONOS satellite images and calculated disparity map using stereo matching algorithms i.e. dynamic programming (DP) and Hierarchical dynamic programming (HDP). The 3D depth of vegetation is based on disparity map which has been measured using stereo algorithms. Results showed that HDP performs well as compared to DP based on QuickBird and IKONOS satellite stereo images in terms of accuracy.
机译：高压电力线路附近的植被入侵及其监测对于配电公司而言是一个具有挑战性的问题。供电公司监视电源线附近的植被/树木，以避免在对植被的监视不当的情况下可能发生的停电。不间断的电源对于工业，企业和日常生活至关重要。已经采用了许多方法来监视传输线杆附近的植被/树木，但是这些方法更加耗时且昂贵。在本文中，我们提出了一种新颖的方法来使用卫星立体图像来监测电线杆附近或下方的植被，该卫星立体图像是使用QuickBird和IKONOS卫星图像获取的，并使用立体匹配算法（即动态编程（DP）和分层动态算法）计算了视差图编程（HDP）。植被的3D深度基于已使用立体算法测量的视差图。结果表明，与基于QuickBird和IKONOS卫星立体图像的DP相比，HDP的准确性更高。

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