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Prediction of Land Use Change Trend of Wuhan City based on TM Remote Sensing Images and Markov Chain Model

机译：基于TM遥感图像和马尔可夫链模型的武汉市土地利用变化趋势预测

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《International Conference on Information Engineering and Computer Science;ICIECS 2009》|2009年|1-4|共4页
会议地点 Wuhan(CN);Wuhan(CN)
作者
Jiao, Xiaoli; Li, Jiangfeng; Song, Wei; Zhang, Xin;
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1. A remote sensing aided multi-layer perceptron-Markov chain analysis for land use and land cover change prediction in Patna district (Bihar), India [J] . Mishra Varun Narayan, Rai Praveen Kumar Arabian journal of geosciences . 2016,第4期

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3. A Markov Chain Geostatistical Framework for Land-Cover Classification With Uncertainty Assessment Based on Expert-Interpreted Pixels From Remotely Sensed Imagery [J] . Li W., Zhang C. Geoscience and Remote Sensing, IEEE Transactions on . 2011,第8期

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4. Prediction of Land Use Change Trend of Wuhan City based on TM Remote Sensing Images and Markov Chain Model [C] . Xiaoli Jiao, Jiangfeng Li, Wei Song, International Conference on Information Engineering and Computer Science . 2009

机译：基于TM遥感图像和马尔可夫链模型的武汉市土地利用变化趋势预测
5. Land transitions from multivariate remotely sensed time series: Using seasonal trends to characterize and categorize land cover changes in Alaska over the 2001-2009 period. [D] . Parmentier, Benoit. 2012

机译：多元遥感时间序列中的土地转变：利用季节性趋势来表征和分类2001-2009年期间阿拉斯加的土地覆盖变化。
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7. Land use/land cover change prediction in Dak Nong Province based on remote sensing and Markov Chain Model and Cellular Automata [O] . Thi Thanh Huong Nguyen, Thi Thuy Phuong Ngo 2018

机译：基于遥感和马尔可夫链模型和蜂窝自动机的达克农省土地利用/土地覆盖预测

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