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3D building Reconstruction from Google Earth Satellite Images

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dc.contributor.author Theint, Khant Kyawt Kyawt
dc.contributor.author Sein, Myint Myint
dc.date.accessioned 2019-07-03T03:09:07Z
dc.date.available 2019-07-03T03:09:07Z
dc.date.issued 2014-02-17
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/122
dc.description.abstract The system is aimed to develop the 3D building model of urban area with low resolution satellite images from Google earth that provides to create the three dimensional geographic information systems (GIS). In this paper, an efficient building extraction algorithm is introduced based on color segmentation and morphological method. The approach is based on the affine projection to compute the corresponding between two satellite images. To reconstruct the 3D model, the depth map is created by the modified factorization algorithm with singular value decomposition (SVD) is used to project the image point. The objective of the system is to reconstruct the 3D model of building in urban area with low resolution satellite images using efficient digital image processing method. en_US
dc.language.iso en en_US
dc.publisher Twelfth International Conference On Computer Applications (ICCA 2014) en_US
dc.title 3D building Reconstruction from Google Earth Satellite Images en_US
dc.type Article en_US


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