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无人机低空遥感影像的自动拼接技术研究
引用本文:尚海兴,黄文钰.无人机低空遥感影像的自动拼接技术研究[J].西北水电,2012(2):14-18.
作者姓名:尚海兴  黄文钰
作者单位:中国水电顾问集团西北勘测设计研究院工程测绘公司,西安,710065
摘    要:针对无人机低空遥感影像拼接问题,引入一种基于加速鲁棒性(SURF)特征的匹配方法,该算法具有稳健和高精度特性,能够实现低空影像的快速匹配。文章采用L-M优化的全局拼接策略,实验表明,该策略能有效减小累积误差的影响,实现了测区影像的自动全景拼接。

关 键 词:低空遥感影像  SURF算子  全景拼接

Study on Automatic Jointing Technology for Remote Sensing Images by Drone at Low Level
SHANG Hai-xing , HUANG Wen-yu.Study on Automatic Jointing Technology for Remote Sensing Images by Drone at Low Level[J].Northwest Water Power,2012(2):14-18.
Authors:SHANG Hai-xing  HUANG Wen-yu
Affiliation:(Engineering Surveying and Mapping Company,HydroChina Xibei Engineering Corporation,Xi’an 710065)
Abstract:Concerning jointing of remote sensing images by drone at low level,one matching method based on SURF is introduced.This calculation method is with stable and high-precision features,enabling to realize quick matching of images taken at low level.In this paper,overall jointing strategy optimized by L-M is applied.Experiment shows that this strategy can reduce accumulated errors and automatic full-view jointing of images in measured region can be realized.
Keywords:Remote sensing images taken at low level  SURF operator  full-view jointing
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