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智能手机移动测量方法的设计与实现
引用本文:蒋赫敏,钟若飞,谢东海.智能手机移动测量方法的设计与实现[J].测绘通报,2019,0(6):71-76.
作者姓名:蒋赫敏  钟若飞  谢东海
作者单位:北京成像理论与技术高精尖创新中心,北京100048;首都师范大学三维数据获取与应用重点实验室,北京100048;首都师范大学资源环境与旅游学院,北京100048;北京成像理论与技术高精尖创新中心,北京100048;首都师范大学三维数据获取与应用重点实验室,北京100048;首都师范大学资源环境与旅游学院,北京100048;北京成像理论与技术高精尖创新中心,北京100048;首都师范大学三维数据获取与应用重点实验室,北京100048;首都师范大学资源环境与旅游学院,北京100048
基金项目:国家自然科学基金(41371434)
摘    要:近年来,智能手机在快速的发展过程中逐渐集成了多种传感器,包括位置传感器、磁力计和加速度计等姿态传感器和数码相机等;同时,由于它所具备的体积小、成本低的优点,为实现手机影像移动量测提供了可能。本文通过Android系统平台及智能手机集成的多传感器,提出了一种新型的智能手机影像量测方法。该方法首先对手机相机进行标定获取内方位元素,并进行Android应用程序的开发,在获取影像数据的同时获得手机的位置姿态数据;然后对影像数据进行特征点提取、匹配及错误点删除,并根据位置姿态数据和同名点图像坐标,利用空间前方交会计算目标点的三维坐标;最后通过光束法平差进行整体优化。试验结果表明该方法获取的位置信息可达到较高的精度.

关 键 词:移动测量  智能手机  Android系统  空间前方交会  光束法平差
收稿时间:2019-01-24

Design and implementation of mobile measurement method for smartphone
JIANG Hemin,ZHONG Ruofei,XIE Donghai.Design and implementation of mobile measurement method for smartphone[J].Bulletin of Surveying and Mapping,2019,0(6):71-76.
Authors:JIANG Hemin  ZHONG Ruofei  XIE Donghai
Institution:1. Bejing Advanced Innovation Center for Imaging Theory and Technology, Beijing 100048, China; 2. Key Lab of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China; 3. College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China
Abstract:In recent years, smartphones have gradually integrated a variety of sensors in the rapid development process, including position sensors, attitude sensors such as magnetometers, accelerometers and digital cameras. At the same time, the advantages of small size and low cost provide the possibility to realize mobile image measurement. A new type of smartphone image measurement method is proposed through the platform of Android system and multi-sensor integrated by smartphones. The method firstly calibrates the smartphone camera to obtain the inner orientation elements, and develops the Android application program which can obtain the position and posture data of the mobile phone while acquiring the image data. Secondly, extraction, matching of feature points and error point deletion are performed on the image data. According to the position and attitude data and the image coordinates of the homonymous points, the three-dimensional coordinates of the target point are calculated by space intersection. Finally, the results of space intersection is taken as the initial value and are overall optimized by the bundle adjustment. The experimental results show that the position information obtained by this method can achieve higher precision.
Keywords:mobile measurement  smartphone  Android system  space intersection  bundle adjustment  
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