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.
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
.
DOI: 10.11947/j.AGCS.2015.20140394
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