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
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;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.614117