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3 November 2010 An application of remote sensing medial axis method in monitoring the dynamic changes of tidal creeks in the radial sandbanks, offshore Jiangsu Province
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Proceedings Volume 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications; 78411R (2010) https://doi.org/10.1117/12.873283
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China
Abstract
The coast of Jiangsu Province is famous for its radial sandbanks offshore. Dynamic changes of tidal creeks are difficult to survey for complex terrain and quick, multiple-changing. In this paper, medial axis methods of tidal creeks are focused on and then the concept of medial axis in mathematics is introduced and discussed. Voronoi diagram (V diagram) in GIS is also considered for its special properties. Points in every edge of V diagram have the shortest distance to the adjacent edges of polygon. Thus, medial axis extraction is converted to V diagram generation. Remote Sensing Medial Axis method (RSMA method) is presented for its quick and convenient survey and it is more developed than the previous traditional visual interpretation method. Using RSMA method, five main tidal creeks in the area were extracted and studied based on four TM images from 1988 to 2008 (They are 1988, 1995, 2003 and 2008, respectively). The results showed that through analyzing the medial axis in different times, RSMA method could reveal the dynamic evolution quickly and accurately. During the last 20 years, Xiyang deep trough has had the greatest changes as the west coast retreated back and the east extended east while the rest four tidal creeks have moved in the north-south direction periodically and gone straight gradually.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanchun Liu and Ying Zhang "An application of remote sensing medial axis method in monitoring the dynamic changes of tidal creeks in the radial sandbanks, offshore Jiangsu Province", Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 78411R (3 November 2010); https://doi.org/10.1117/12.873283
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