| 基于模糊小脑模型神经网络的遥感图像分类算法 |
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| 引用本文： | 毛建旭,王耀南,孙炜.基于模糊小脑模型神经网络的遥感图像分类算法[J].测绘学报,2002,31(4):327-332. |
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| 作者姓名： | 毛建旭 王耀南 孙炜 |
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| 作者单位： | 1. 湖南大学,电气与信息工程学院,湖南,长沙,410082;中国科学院,模式识别国家重点实验室,北京,100080
2. 湖南大学,电气与信息工程学院,湖南,长沙,410082 |
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| 基金项目： | 国家自然科学基金，60075008， |
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| 摘 要： | 针对遥感图像分类的特点，提出一种基于模糊小脑模型神经网络的遥感图像分类算法，首先阐述小脑模型神经网络的工作原理，然后将模糊理论引入小脑模型神经网络，提出一种能反映人脑认知的模糊性和连续性的模糊小脑模型神经网络，并将其应用于遥感图像分类，实验结果表明，这种基于模糊小脑模型神经网络的分类器经过训练后，可应用于遥感图像的分类，其分类精度明显高于传统的最大似然分类法。
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| 关 键 词： | 模糊小脑模型 神经网络 遥感图像 分类 传感器 |
| 文章编号： | 1001-1595(2002)04-0327-06 |
Remote Sensing Image Classification Algorithm Based on Fuzzy CMAC Neural Network |
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| MAO Jian xu ,WANG Yao nan ,SUN Wei.Remote Sensing Image Classification Algorithm Based on Fuzzy CMAC Neural Network[J].Acta Geodaetica et Cartographica Sinica,2002,31(4):327-332. |
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| Authors: | MAO Jian xu WANG Yao nan SUN Wei |
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| Institution: | MAO Jian xu 1,2,WANG Yao nan 1,2,SUN Wei 1 |
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| Abstract: | Considering the features of remote sensing images, we proposed a remote sensing image classification algorithm using Fuzzy Cerebellar Model Articulation Controller (FCMAC) neural network. First, the principle of Cerebellar Model Articulation Controller(CMAC) neural network is described. Then, fuzzy theory is introduced into CMAC and a FCMAC neural network is brought forward. The proposed FCMAC neural network reflects the fuzziness and continuity of human cerebella and is used to remote sensing image classification. Experimental results show that the FCMAC neural network classifier can be used in remote sensing image classification, and its classification precision is superior to that of the conventional MLC algorithm. |
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| Keywords: | Cerebellar Model Articulation Controller Fuzzy Cerebellar Model Articulation Controller neural network remote sensing image classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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