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基于智能生态细胞的遥感信息提取方法
引用本文:蒋样明,崔伟宏,董前林.基于智能生态细胞的遥感信息提取方法[J].红外,2011,32(8):18-24.
作者姓名:蒋样明  崔伟宏  董前林
作者单位:1. 中国科学院遥感应用研究所,北京,100101
2. 中国矿业大学,北京,100083
基金项目:中国博士后科学基金(20080430586); 国家科技支撑项目(2008BAK50B01)
摘    要:提出了一种基于智能生态细胞的遥感信息提取方法.该方法综合了作物的物候特征、光谱演化特征和空间相关性的反馈信息,融合了元胞自动机、模糊推理和BP神经网络智能计算思想.以2009年多时相Landsat7 ETM遥感影像作为数据源,进行了基于智能生态细胞的烤烟种植面积监测.监测结果表明,该方法可以有效提高遥感信息提取精度,具...

关 键 词:智能生态细胞  元胞自动机  模糊推理  BP神经网络  物候特征
收稿时间:6/8/2011 6:04:44 PM
修稿时间:2011/6/28 0:00:00

Remote Sensing Information Extraction Method Based n Smart Ecological Cells
JIANG YangMing,CUI WeiHong and DONG QianLin.Remote Sensing Information Extraction Method Based n Smart Ecological Cells[J].Infrared,2011,32(8):18-24.
Authors:JIANG YangMing  CUI WeiHong and DONG QianLin
Affiliation:Institute of Remote Sensing Applications,Institute of Remote Sensing Applications,China university of mining and technology
Abstract:A remote sensing information extraction method based on smart ecological cells is put forward. In the method, the crop phenological characteristics, spectral evolution characteristics and special correlation feedback are combined and the cellular automata, fuzzy reasoning and BP neural network intelligent computation are fused. By taking the multi-temporal Landsat--7 ETM images as the experimental data, the monitoring of tobacco acreage planting area based on smart ecological cells is carried out. The monitoring result shows that this method can effectively improve the extraction accuracy of remote sensing information and is of value to practical applications.
Keywords:smart ecological cell  cellular automata  fuzzy reasoning  BP neural network  phenological characteristics
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