Technology and Methodology |
|
|
|
|
|
Building Outline Information Extraction Based on Mathematical Morphology |
WANG Yong-gang 1, MA Cai-xia 2, LIU Hui-ping 3 |
1.Institute of Remote Sensing Applications, CAS, Beijing 100101, China; 2.Department of Building Engineering, Handan
Polytechnic College,Handan 056001, China; 3.School of Geography, Beijing Normal University, Beijing 100875, China |
|
|
Abstract In view of characteristics of high-resolution satellite images, this paper has designed a set of technological schemes
for semiautomatic rapid and easy extraction of building 2-D rooftop information. Firstly image preprocessing was performed by
using the Maximum Homogeneity Neighbor Filter Method. Then Differential Morphological Profile Method was employed which is based
on the reconstruction of classical morphological algorithms such as erosion, dilation as well as open and close operators. Some
preliminary improvements were made in choosing the step of structure operator. The image after-processing was made based on the
combination of Label Region and Threshold Segmentation. Finally the QuickBird image was chosen which covered the campus of
Beijing Normal University as the study area because of its dense man-made buildings. The result shows that this set of
technological schemes not only has a good extraction effect for regular buildings, but also can extract the outline of the
complex building effectively.
|
Keywords
Sand_dust storm
Meteorological satellite
Image characteristics
|
Issue Date: 22 March 2010
|
|
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|