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 |