DocumentCode :
653402
Title :
Reconstruction of 3D Maps for 2D Satellite Images
Author :
Lianzhang Zhu ; Xuexing Zheng ; Pengfei Li
Author_Institution :
Coll. of Comput. & Commun. Eng., China Univ. of Pet., Qingdao, China
fYear :
2013
fDate :
20-23 Aug. 2013
Firstpage :
1644
Lastpage :
1649
Abstract :
In this paper, we will propose a new approach of building 3D maps from 2D satellite map images. Firstly, we get a 2D satellite map image from Google Earth. Then we use OpenCV to extract the elements´ boundaries automatically on the 2D map image. Next, we correct the automatic extraction result and set the information of the elements on the map manually. After extraction and setting is finished, we will get the data (elements´ boundaries, types, locations, textures, heights) of the elements on the 2D map. With these data, we can establish the virtual 3D digital map of the scenes. At the same time, we will add textures to the 3D models in the 3D scenes. To be more user-friendly, the system provides data gloves based roaming and can synchronize the 3D scenes with Android clients.
Keywords :
cartography; geophysical image processing; image reconstruction; image texture; 2D satellite images; 3D map reconstruction; 3D scene; Android client; Google Earth; OpenCV; automatic extraction; element boundary; element height; element location; element type; image texture; Buildings; Educational institutions; Load modeling; Rendering (computer graphics); Satellites; Solid modeling; Three-dimensional displays; 2D map; 3D map; roaming; satellite image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.298
Filename :
6682310
Link To Document :
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