Geo-registration of Unprofessional and Weakly-related Image and Precision Evaluation

doi:10.11947/j.AGCS.2015.20140394

Acta Geodaetica et Cartographica Sinica ›› 2015, Vol. 44 ›› Issue (9): 1014-1021.doi: 10.11947/j.AGCS.2015.20140394

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Geo-registration of Unprofessional and Weakly-related Image and Precision Evaluation

LIU Yingzhen^1,2,3, JIA Fenli⁴, WAN Gang⁴, ZHU Yunqiang², HUO Chao⁵

1. General Staff Information Center of Surveying and Mapping, Beijing 100088, China;
2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
3. University of Chinese Academy of Sciences, Beijing 100049, China;
4. Geospatial Information Institute, Information Engineering University, Zhengzhou 450052, China;
5. Technical Division of Surveying and Mapping, Xi'an 710054, China

Received:2014-04-23 Revised:2015-01-24 Online:2015-09-24 Published:2015-09-24
Contact: 诸云强,zhuyq@igsnrr.ac.cn E-mail:zhuyq@igsnrr.ac.cn
Supported by:
The National Natural Science Foundation of China (Nos.40971239 41371381 41101437 41371383 41201390);The Specific Foundation of Fundamental Scientific Research of China (No.2013FY110900);The National Foundation of Major Scientific Equipment Development of China (No.2012YQ06002704);The Science and Technology Plan Projects of Yunnan Province (No.2012CA021)

Abstract

Abstract: The 3D geo-spatial model built by unprofessional and weakly-related image is a significant source of geo-spatial information. The unprofessional and weakly-related image cannot be useful geo-spatial information until be geo-registered with accurate geo-spatial orientation and location. In this paper, we present an automatic geo-registration using the coordination acquired by real-time GPS module. We calculate 2D and 3D spatial transformation parameters based on the spatial similarity between the image location in the geo-spatial coordination system and in the 3D reconstruction coordination system. Because of the poor precision of GPS information and especially the unstability of elevation measurement, we use RANSAC algorithm to get rid of outliers. In the experiment, we compare the geo-registered image positions to their differential GPS coordinates. The errors of translation, rotation and scaling are evaluated quantitively and the causes of bad result are analyzed. The experiment demonstrates that this geo-registration method can get a precise result with enough images.

Key words: 2D geo-registration, 3D geo-registration, GPS information of image, parameter solution of geo-registration, quantitive evaluation of geo-registration precision

CLC Number:

P208

LIU Yingzhen, JIA Fenli, WAN Gang, ZHU Yunqiang, HUO Chao. Geo-registration of Unprofessional and Weakly-related Image and Precision Evaluation[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(9): 1014-1021.

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Geo-registration of Unprofessional and Weakly-related Image and Precision Evaluation

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