Analysis of surface circulation with digital camera

Zheng Wen Zheng*, Kun Cheng Hsieh, Chung Ru Ho, Chun Yi Lin, Nan Jung Kuo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The purpose of this study is to verify the feasibility of feature tracking method on the images taken by a digital camera near the coastal area. This technology is applied to the surface circulation at Yin-Yang Bay, a small bay at northeastern Taiwan, with an obvious front of cloudy yellow fresh water and clear brine. The primary images taken at Yin-Yang Bay have to do geometric transformation, image smoothing and edge detection before work on feature tracking. Two feature tracking methods are applied to these processed images for estimating surface current velocity. They are the subjective method of estimating distance among the sequence images by naked eyes and the objective method of Maximum Cross Correlation (MCC), respectively. The results show that the velocities of surface currents at Yin-Yang Bay derived from both methods are similar and are comparable to the results of in-situ measurements with a difference of 2%. This indicates that the technology developed in this study is suitable for coastal circulation research. However, it is noted that not every front velocity can reflect the behavior of tidal current. Nevertheless, the front velocity during neap tide is apparently slower than that during spring tide.

Original languageEnglish
Title of host publication29th Asian Conference on Remote Sensing 2008, ACRS 2008
Number of pages6
Publication statusPublished - 2008
Externally publishedYes
Event29th Asian Conference on Remote Sensing 2008, ACRS 2008 - Colombo, Sri Lanka
Duration: 2008 Nov 102008 Nov 14

Publication series

Name29th Asian Conference on Remote Sensing 2008, ACRS 2008


Other29th Asian Conference on Remote Sensing 2008, ACRS 2008
Country/TerritorySri Lanka


  • Digital camera
  • Image processing
  • Remote sensing
  • Surface circulation

ASJC Scopus subject areas

  • Computer Networks and Communications


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