文献详情
Multi-sensor based high-precision direct georeferencing of medium-altitude unmanned aerial vehicle images
文献类型期刊
作者Li, Hongguang[1];Li, Xinjun[2];Ding, Wenrui[3];Shi, Yang[4];Li, Yundong[5]
机构
通讯作者Ding, WR (reprint author), Beihang Univ, Research Inst Unmanned Aerial Vehicle, Beijing 100191, Peoples R China.
来源信息年:2017  卷:38  期:8-10  页码范围:2577-2602  
期刊信息Conference on Small Unmanned Aerial Systems (sUAS) for Environmental Research影响因子和分区  ISSN:0143-1161
摘要A high-precision direct georeferencing method based on multi-sensor information for unmanned aerial vehicle (UAV) remote sensing is proposed in this research. The method makes contributions in three areas. First, the direct georeferencing model for the most popular system structure of fixed wing UAV loading of a camera with two degrees of freedom is established by using multi-sensor parameters. Second, based on this model, it performs image geographical reconstruction under complex motion and ultimate imaging conditions, which constructs the resulting image from the image frame, geographical frame and image pixels, and provides real geometric and geographic information. Third, in order to improve the accuracy of the georeferencing of the corrected image, a method of error prediction and compensation is presented. It converts the six factors affecting the accuracy of image georeferencing, to three factors for reducing the complexity. Then, the error prediction model is constructed, the parameters of which could be determined by supervised machine learning method. A medium-altitude UAV is employed to collect large amount of images and other sensor data. The experiments show quite encouraging results.
收录情况SCIE(WOS:000397995100032)  EI(20163502753680)  
所属部门电子信息工程学院;机械工程及自动化学院;无人机所
DOI10.1080/01431161.2016.1222103
学科成像科学与照相技术;遥感
人气指数63
浏览次数63
基金National Natural Science Foundation of China [61450008]
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