DocumentCode :
814140
Title :
DNESYS-an expert system for automatic extraction of drainage networks from digital elevation data
Author :
Qian, Jianzhong ; Ehrich, Roger W. ; Campbell, James B.
Author_Institution :
Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Volume :
28
Issue :
1
fYear :
1990
fDate :
1/1/1990 12:00:00 AM
Firstpage :
29
Lastpage :
45
Abstract :
The problems that arose in earlier programs to map drainage systems are analyzed in detail. An expert system called the drainage Network Extraction System (DNESYS) is described. It uses both local operator and global reasoning to extract drainage networks and ridge lines. A stream representation called a parameterized directed graph (PDG) is constructed to model a drainage system. The construction of the model begins with an initial pixel labeling procedure. Then, a network tracing and property measurement procedure converts the two-dimensional low-level labeling information into a symbolic database for high-level processing. The application of Dempster-Shafer evidence theory allows evidence collection and uncertain reasoning to be performed against the DNESYS knowledge-base that contains the drainage system model and the organized expert knowledge. By discarding erroneous information and supplying missing information, DNESYS produces a complete PDG which can be converted into the final drainage system
Keywords :
cartography; computerised picture processing; database management systems; geophysics computing; knowledge based systems; rivers; topography (Earth); DNESYS; Dempster-Shafer evidence theory; automatic extraction; cartography; digital elevation data; drainage Network Extraction System; drainage systems; erroneous information; evidence collection; expert system; global reasoning; high-level processing; knowledge-base; local operator; mapping; missing information; network tracing; parameterized directed graph; pixel labeling procedure; property measurement procedure; ridge lines; river; stream representation; symbolic database; topography; two-dimensional low-level labeling information; uncertain reasoning; Data mining; Databases; Expert systems; Geographic Information Systems; Geologic measurements; Geoscience; Graphics; Labeling; Senior members; Spatial resolution;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.45743
Filename :
45743
Link To Document :
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