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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.859662