Land Cover Change Detection Based on Value and Shape Optimized Combination
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Abstract
We propose a new change detection approach based on value and shape optimized combination by analyzing robustness of several traditional change detection algorithms.It was tested in Xi’an City of Shaanxi Province to analyze land cover change from 2000 to 2009.The overall accuracy and Kappa coefficient of change detection result are 92.313% and 0.844 respectively,which outperform other methods.
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