DocumentCode :
2959508
Title :
Interpretation of river main-flow from remote sensing images: Studying on dynamic transmission cross-correlation method
Author :
Lin, Han ; Xuegong, Liu ; Yanning, Zhang
Author_Institution :
Northwestern Poly-Tech. Univ., Xian
fYear :
2008
fDate :
1-8 June 2008
Firstpage :
2281
Lastpage :
2289
Abstract :
The main-flow is wandering for sedimentation in downstream channel of the Yellow River, which threatened security greatly for flood control in the lower. It is a very difficult issue to interpret the main-flow information using remote sensing image. In this paper, with the flow characteristics of direction and continuously similarity in river channel, a Dynamic Transmission Cross-Correlation (DTCC) algorithm was proposed and employed to try to extract the main-flow information based on Landsat TM images in wandering reaches of the lower Yellow River. The results show that the interpretation main-flow is coincident with the field observed.
Keywords :
environmental science computing; floods; image processing; mathematical analysis; remote sensing; rivers; sedimentation; Landsat TM images; Yellow River; downstream channel; dynamic transmission cross-correlation; flood control; remote sensing images; river main-flow; sedimentation; Neural networks; Remote sensing; Rivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
ISSN :
1098-7576
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2008.4634113
Filename :
4634113
Link To Document :
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