Automatic Building Detection from Satellite Images Using Spectral Graph Theory

被引：4
|
作者：
Zakharov, Alexei [1 ]
Tuzhilkin, Alexei [1 ]
Zhiznyakov, Arkady [1 ]
机构：
[1] Vladimir State Univ, Murom Inst, CAD Dept, Murom, Russia
来源：
2015 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING, AUTOMATION AND CONTROL SYSTEMS (MEACS) | 2015年
关键词：
image recognition; detection of buildings; satellite images;
D O I：
10.1109/meacs.2015.7414937
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Approach of detection of buildings on satellite images ispresented in this paper. Actuality of work is shown. Possible areas of the use of the research results are presented. The detection is based on joint use of height, color, shape. The height of the object is determined based on energy minimization within the region. The image is segmented previously. The area of vegetation and the shadows are detected based on color invariants. Regions of the image are grouped based on the properties using spectral clustering. The shape and size of objects are analyzed additionally. The results of the algorithm are given.
引用
收藏
页数：5
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