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

fYear

2012

fDate

22-27 July 2012

Firstpage

6860

Lastpage

6863

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6352587

Filename

6352587