Detection the river regime variation of the Yellow River based on remote sensing imagery

Hongwei She, Yanning Zhang, Haichao Zhang, Xuegong Liu, Lin Han

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As the biggest sediment-laden river in the world, the river regime variation of the Yellow River is complicated which results in the difficulty in flood control at the wandering lower reaches of the Yellow River. The problem of the river regime variation detection with multi-spectral remote sensing images is investigated in this paper. Firstly, the flow characteristic of the wandering lower reaches of the Yellow River is analyzed. Then, based on the spectral similarity and the principle of spatial continuity, a main-stream detection approach called Spectral Correlation Dynamic Transmission (SCDT) algorithm is presented. Finally, bow parameters are calculated and the river regime variation is analyzed based on these parameters. Experimental results are in accordance with the periodic river regime variation of the Yellow River which indicates the effectiveness of the proposed method. The method presented in this paper can be applied directly in flood control.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Image and Graphics, ICIG 2009
PublisherIEEE Computer Society
Pages744-748
Number of pages5
ISBN (Print)9780769538839
DOIs
StatePublished - 2009
Event5th International Conference on Image and Graphics, ICIG 2009 - Xi'an, Shanxi, China
Duration: 20 Sep 200923 Sep 2009

Publication series

NameProceedings of the 5th International Conference on Image and Graphics, ICIG 2009

Conference

Conference5th International Conference on Image and Graphics, ICIG 2009
Country/TerritoryChina
CityXi'an, Shanxi
Period20/09/0923/09/09

Keywords

  • Bow parameters
  • Main-stream
  • River regime
  • SCDT algorithm

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