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REMOTE SENSING FOR LAND & RESOURCES    2013, Vol. 25 Issue (2) : 149-155     DOI: 10.6046/gtzyyg.2013.02.25
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Predictive simulation of the Fangchenggang coastline based on CA model
ZHANG Yu, WANG Ranghui
College of Environment Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
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Abstract  

This study combines the use of multi-temporal satellite remote sensing images with the GIS spatial analysis method. The study of the changing characteristics of Fangchenggang coastline has important practical significance. The TM images of Fangchenggang in two phases were obtained in November 2000 and October 2010, First, preprocessing, extraction of feature information of coastline and spatial analysis were conducted for two-phase TM images of Fangchenggang. Then, the CA model was established in accordance with the relevant controlling factors and the corresponding neighbor rules. On such a basis, the Monte Carlo method was used in combination with the controlling factors to make judgment so as to finalize the conversion of cellular state. The actual and prediction image overlay analysis in 2010 shows that the number accuracy of prediction coastline is 83.65%, and the spatial location accuracy is 93.45%, whose values are in the range of allowable error. It is shown that the use of the CA model to predict the shoreline in Monte Carlo method is practical. Finally, the prediction of the Fangchenggang coastline in 2020 was realized based on the combination of CA model algorithm with Matlab technology.

Keywords TDI CCD      MTF      SNR      mathematical simulation      comprehensive response     
:  TP79  
Issue Date: 28 April 2013
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YUE Qingxing
TANG Xinming
GAO Xiaoming
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YUE Qingxing,TANG Xinming,GAO Xiaoming. Predictive simulation of the Fangchenggang coastline based on CA model[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(2): 149-155.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.02.25     OR     https://www.gtzyyg.com/EN/Y2013/V25/I2/149

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