| Technology and Methodology |
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UAV tilted images matching research based on POS |
| ZHAO Zheng1,2, LING Xiao3, SUN Changkui1, LI Yongzhi1 |
1. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China;
2. Key Laboratory of Airborne Geophysics and Remote Sensing Geology, Ministry of Land and Resources, Beijing 100083, China;
3. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China |
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Abstract In full consideration of the characteristics of the UAV tilted images, this paper presents an UAV tilt image matching method based on POS. Compared with existing matching method, this paper firstly introduces the global SRTM data as auxiliary to forecast the images overlap area, and secondly set up an approximate relationship of epipolar line between images to exclude the gross error. As known to all, the SIFT matching algorithm has large computation and spends a lot of time, so this paper replaces it with SIFT GPU to improve operating efficiency. Specially, this paper refines the accuracy of POS step by step, because the initial accuracy of POS is not high. The experimental results of UAV tilt images from different tilt cameras shows that this method can provide a sufficient number of corresponding points which are evenly distributed and correct.
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| Keywords
MapGIS
ArcGIS
conversion
symbol library
MXD file
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Issue Date: 27 November 2015
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