DocumentCode :
2554324
Title :
Study on Fuzzy DTCC Method for River Main-Stream Interpretation from Remote Sensing Image
Author :
Han Lin ; Zhang Yanning ; She Hongwei ; Liu Xuegong ; Chen Liang
Author_Institution :
Dept. of Compute Sci., Northwestern Poly-Tech. Univ., Xi´an, China
fYear :
2010
fDate :
23-25 Sept. 2010
Firstpage :
1
Lastpage :
4
Abstract :
Yellow River is well known as sediment-laden river in the world with main-stream quickly change in its lower channel, so main-stream should be understood timely at flood season. Remote sensing is a primary approach to get main-stream information timely, however it has still some difficulties in interpreting it on image. DTCC (Dynamic Transmission Cross-Correlation) algorithm has been successfully described river flows with direction and continuity, as well as its surface phenomena having similarity alone flow direction. However, with water flow uncertainty similarity and the suboptimal path in flow direction, the DTCC interpretation results have some errors in some reaches. In this paper, a Fuzzy Dynamic Transmission Cross-correlation (FDTC) algorithm was proposed to interpret the river main-stream information based on fuzzy evaluation to flow similarity and fuzzy comprehensive selection in flow direction. The algorithm was applied on TM image in the lower of Yellow River and the results show that the FDTC method has an obviously improvement on main-stream interpretation.
Keywords :
fuzzy set theory; remote sensing; rivers; Yellow River; dynamic transmission cross-correlation; flow direction; flow similarity; fuzzy DTCC method; fuzzy comprehensive selection; fuzzy evaluation; remote sensing image; river main-stream interpretation; sediment-laden river; Correlation; Earth; Floods; Heuristic algorithms; Remote sensing; Rivers; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
Type :
conf
DOI :
10.1109/WICOM.2010.5600671
Filename :
5600671
Link To Document :
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