Title :
Unsupervised river detection in RapidEye data
Author :
Klemenjak, Sascha ; Waske, Björn ; Valero, Silvia ; Chanussot, Jocelyn
Author_Institution :
Center for Remote Sensing of Land Surfaces, Univ. of Bonn, Bonn, Germany
Abstract :
Remote sensing is a widely-used utility in supporting multilateral environmental treaties such as the Water Framework Directive (WFD). Regarding the WFD most remote sensing applications aim on the assessment of the biochemical status of surface water, while the general detection of water networks is disregarded. Therefore, a methodology for the automatic extraction of river networks from multispectral satellite data is presented.
Keywords :
geophysical image processing; geophysical techniques; hydrological techniques; image classification; rivers; Germany; RapidEye data; green band; multilateral environmental treaties; multispectral satellite data; optical remotely sensed data; red edge; remote sensing; river network automatic extraction; supervised SVM-classification; surface water biochemical status; unsupervised river detection; water framework directive; water network general detection; widely-used utility; Europe; Feature extraction; Indexes; Remote sensing; Rivers; Support vector machines; Training; Linear features extraction; RapidEye; SVM; Water Framework Directive; mathematical morphology;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352587
