DocumentCode :
484033
Title :
Cartographic Elements Extraction using High Resolution Remote Sensing Imagery and XML Modeling
Author :
LOPEZ-ORNELAS, Erick ; Sedes, Florence
Author_Institution :
Univ. Autonoma Metropolitana Cuajimalpa-Mexico, Mexico City
Volume :
2
fYear :
2008
fDate :
7-11 July 2008
Abstract :
At the present time, the remote sensing community will have to deal with new data type; very high spatial resolution and IKONOS and Quickbird data give an excellent reference of them. For some topics that are directly implied like environment or urban areas analysis, these new data will be very important. Indeed, the arrival of these images enables a new capability and the study of a range of non-observable objects until now. Using high resolution imagery should make it possible to detect man-made features such as buildings, rivers or roads in an easier way than conventional data. This research presents and proposes an automatic system of cartographic elements extraction from space images, using very high spatial resolution images. This system can be adapted to other types of remote sensing images. This research work is focussed on the extraction of four types of cartographic elements: water areas, urban areas, wooded areas and linear features such as roads or railways. Each type of cartographic element is extracted detecting its own characteristics, using image analysis, applying a segmentation process and knowledge extraction.
Keywords :
XML; automation; cartography; feature extraction; geophysical signal processing; geophysical techniques; image segmentation; knowledge acquisition; remote sensing; IKONOS; Quickbird; XML modeling; automatic cartographic element extraction; high resolution remote sensing imagery; image analysis; image segmentation; knowledge extraction; linear features; railways; roads; urban area; very high spatial resolution data; water area; wooded area; Computer vision; Data analysis; Data mining; Image resolution; Remote sensing; Rivers; Roads; Spatial resolution; Urban areas; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
Type :
conf
DOI :
10.1109/IGARSS.2008.4779020
Filename :
4779020
Link To Document :
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