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