DocumentCode
314339
Title
Automatic extraction of drainage networks from digital terrain elevation data: a local network approach
Author
Fern, A. ; Musavi, M.T. ; Miranda, J.
Author_Institution
Intelligent Syst. Lab., Maine Univ., Orono, ME, USA
Volume
3
fYear
1997
fDate
9-12 Jun 1997
Firstpage
1512
Abstract
This paper describes a local network approach for the automatic extraction of drainage networks from digital terrain elevation data (DTED). The extraction of drainage networks from topological data is one of the more important uses of such information. An extracted network may be used in many applications, such as determining drainage network metrics or selecting control points for image registration and mapping applications. In this research, a network of local processing units has been designed and applied to the automatic extraction of drainage networks. The results show that the network described is a promising tool for the extraction of drainage networks from DTED
Keywords
feature extraction; geophysics computing; image registration; neural nets; remote sensing; digital terrain elevation data; drainage networks; image mapping; image registration; local network approach; Computer networks; Data mining; Earth; Image segmentation; Intelligent networks; Intelligent systems; Laboratories; Level measurement; Spatial resolution; Terrain mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks,1997., International Conference on
Conference_Location
Houston, TX
Print_ISBN
0-7803-4122-8
Type
conf
DOI
10.1109/ICNN.1997.614117
Filename
614117
Link To Document