DocumentCode
3071694
Title
Urban area detection in satellite images using map knowledge by a feedback control technique
Author
Yu, Shan ; Berthod, Marc
Author_Institution
Inst. Nat. de Recherche en Inf. et Autom., Sophia Antipolis, France
Volume
1
fYear
1994
fDate
9-13 Oct 1994
Firstpage
98
Abstract
A new technique for urban area detection in satellite images by integrating geographic map knowledge is presented. Satellite images are modeled by Markov random fields and digitized maps are used as a priori knowledge of the scene under analysis. An iterative scheme is proposed to increase the robustness of scene labeling algorithms by means of a feedback control. Experimental results on urban area detection in SPOT images show the effectiveness of the technique
Keywords
feedback; Markov random fields; SPOT images; digitized maps; feedback control technique; geographic map knowledge; iterative scheme; map knowledge; robustness; satellite images; scene labeling algorithms; urban area detection; Data mining; Error analysis; Feedback control; Image edge detection; Iterative algorithms; Labeling; Layout; Markov random fields; Satellites; Urban areas;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location
Jerusalem
Print_ISBN
0-8186-6265-4
Type
conf
DOI
10.1109/ICPR.1994.576236
Filename
576236
Link To Document