DocumentCode
352572
Title
Cooperation and fusion of operators: Application to automatic matching of cartographic objects
Author
Dhérété, Pierre ; Desachy, Jacky
Author_Institution
L.R.I.T., Toulouse, France
Volume
6
fYear
2000
fDate
2000
Firstpage
2626
Abstract
The aim of this study is to provide a system able to identify and to match linear cartographic objects on SPOT images using geographic databases, and to update the databases. Automatic matching of geographic features in complex remote sensing images faces different problems, such as diversity of context or complexity of information. In order to simplify identification and to limit the search space, the authors use databases as a priori knowledge to help the scene understanding. But, diversity and imprecision of information sources to process generate new problems. The fuzzy logic theory has proved in the last years its ability to solve a large range of problems concerning imprecision
Keywords
cartography; feature extraction; fuzzy logic; geophysical signal processing; geophysical techniques; image matching; image processing; pattern matching; remote sensing; sensor fusion; terrain mapping; SPOT image; automatic matching; cartographic object; cartography; complex image; complexity; context; data fusion; diversity; fuzzy logic theory; geographic database; geographic feature; geophysical measurement technique; image processing; imprecision; land surface; linear feature; operators; pattern matching; remote sensing; scene understanding; sensor fusion; terrain mapping; Computer vision; Data mining; Detectors; Fusion power generation; Image databases; Layout; Object detection; Pixel; Remote sensing; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-6359-0
Type
conf
DOI
10.1109/IGARSS.2000.859662
Filename
859662
Link To Document