摘要
在传统的马尔可夫链模型的基础上,建立了加权马尔可夫链模型。依据遥感影像,计算出太仓市1995年至2001年,2001年至2005年各类土地利用面积的马尔可夫链的转移概率,以不同步长外推的预测值与现状值(2008年)之间的相关系数为权重,用加权的马尔可夫模型对预测的结果进行修正,其修正后的结果更加接近实际。
The model of fuzzy weighted Markov chain was set up based on the common forecast model of Markov chain. The method was applied to forecast the change of land use in Taicang city. Based on the remote sensing images, the transition probability matrixes of 1995 - 2001 and 2001 - 2005 were obtained. This paper amended the forecast result by using the correlation coei^cients between the predicted values calculated by different steps and the current value as the weight. The data predicted with the weighted Markov chain were the same as the real data.
出处
《江西农业学报》
CAS
2009年第5期140-142,147,共4页
Acta Agriculturae Jiangxi
基金
国家创新计划项目
关键词
土地利用
遥感影像
加权马尔可夫模型
预测
Land use
Remote sensing images
Model of fuzzy weighted Markov chain
Forecast
