DocumentCode
2138202
Title
Detection of buildings from a single airborne image using a Markov random field model
Author
Katartzis, A. ; Sahli, H. ; Nyssen, E. ; Cornelis, J.
Author_Institution
ETRO Dept., Vrije Univ., Brussels, Belgium
Volume
6
fYear
2001
fDate
2001
Firstpage
2832
Abstract
We propose an automated method for the detection of buildings from a single airborne color optical image using a dedicated Markov random field model, which describes both geometric and photometric attributes of the 3-D objects of interest. The paper presents the basic principles and some preliminary results of our approach
Keywords
Markov processes; feature extraction; remote sensing; Markov random field model; automated method; buildings detection; geometric attributes; man-made 3D objects; photometric attributes; single airborne colour optical image; Data mining; Geometrical optics; Image edge detection; Image segmentation; Labeling; Layout; Markov random fields; Object detection; Optical variables control; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location
Sydney, NSW
Print_ISBN
0-7803-7031-7
Type
conf
DOI
10.1109/IGARSS.2001.978178
Filename
978178
Link To Document