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