Line-Based Registration for UAV Remote Sensing Imagery of Wide-Spanning River Basin

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• 作者：Wenqian ZANGJiayuan LINBaosen ZHANGHeping TAOZhongmei WANG
• 会议时间：2011-07-01
• 关键词：Unmanned Aerial Vehicles (UAV) ; Remote Sensing Image Registration ; Yellow River
• 作者单位：Wenqian ZANG(Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610041,China;Graduate University of Chinese Academy of Sciences,Beijing 100049,China)Jiayuan LIN,Heping TAO(Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610041,China)Baosen ZHANG,Zhongmei WANG(Yellow River Institute of Hydraulic Research,Yellow River Conservancy Commission,Zhengzhou 450003,China)
• 母体文献：第六届全国冰工程学术研讨会论文集
• 会议名称：第六届全国冰工程学术研讨会
• 会议地点：呼和浩特
• 主办单位：中国水利学会
• 语种：chi

摘要

With the development of Unmanned Aerial Vehicles (UAVs) remote sensing technique,some researchers began to apply the UAV imagery to investigate Yellow River's dike hazards.There has been an urgent need for establishing automatic and accurate registration techniques of UAV remote sensing imagery.High-precision image registration will enhance the reliability of the investigation.As the Yellow River is very wide,it is very difficult to find enough Ground Control Points (GCP) and the limited GCPs are usually distributed unevenly.Therefore,the traditional point-based image registration approach cannot satisfy the requirements of imagery registration.However,the river basin contains linear features richly.This paper proposes a line-based registration approach for UAV remote sensing imagery of the wide-spanning river basin.This method regards the segment straight line as the registration primitives.After detect the primitives of input images,we estimate the parameters of transformation model between reference-image and registering-image with Modified Iterated Hough Transform (MIHT).Experiments using the UAV imagery of Ning-Meng section of Yellow River conclude that this is a robust method for registration for UAV remote sensing imagery of wide-spanning river basin.