A Parallel Interior Orientation Method Based on Lookup Table for UAV Images

摘要：

A parallel interior orientation method based on lookup table is proposed to deal with lens distortion and interior orientation issues of UAV (Unmanned Aerial Vehicle) images. Firstly, a distortion correction and interior orientation algorithm is proposed for UAV low altitude remote sensing images. Secondly, a mapping lookup table algorithm based on distortion correction model for interior orientation is presented. A parallel processing algorithm for distortion correction of batch nonmetric camera images is proposed. Finally, an interior orientation experiment with 2531 UAV low altitude remote sensing images of two particular testing zones is designed. The experiment result shows that the processing speed of the new method promotes 3 times than that of traditional one, which is appropriate for interior orientation of batch remote sensing images, to achieve quick response to demand of fast mapping of low altitude remote sensing images from UAV platform.

关键词： Low altitude remote sensing Distortion correction Interior orientation Lookup table Parallel

作者: Ming Wang Qingquan Li Qingwu Hu Hui Yuan

作者单位: School of Remote Sensing and Information Engineering,Wuhan University No.129,Luoyu Road ,Wuhan ,Hube LIESMARS,Wuhan University No.129,Luoyu Road, Wuhan, Hubei,P.R.China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services(第一届空间数据挖掘与地理知识服务国际学术会议 ICSDM 2011)

会议地点: 福州

会议语种:英文

页码: 397-400

在线出版日期: 2011-06-29（万方平台首次上网日期，不代表论文的发表时间）