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Nonlinear Cross Prediction Analysis of Water Vapor Time Series with Fractal Interpolation

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5 Author(s)
Xiaobo Deng ; Key Lab. of Atmos. Sounding, Chengdu Univ. of Inf. Technol., Chengdu, China ; Zongyuan Pang ; Jilie Ding ; Hailei Liu
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A nonlinear cross prediction method is taken to analyze change characteristics of water vapor time series. Fractal interpolation method is used to deal with remote sensing data. The cross prediction error is used to detect the sign of coming rainstorm, which forecast the occurrence of heavy rain, the experiment result shows the fractal interpolation is effective for preprocessing satellite remote sensing data.

Published in:

Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on

Date of Conference:

1-3 June 2012