| 土地类型分类的人工神经网络方法 |
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| 引用本文： | 曹菡,师军. 土地类型分类的人工神经网络方法[J]. 航空计算技术, 2000, 30(1): 22-24 |
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| 作者姓名： | 曹菡 师军 |
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| 作者单位： | 陕西师范大学,计算机系,陕西,西安,710062 |
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| 摘 要： | :研究了用人工神经网络对航空影像进行土地类型分类的方法 ,用选定窗口的平均值 ,标准差和傅利叶频谱平均值作为神经网络的输入 ,土地类型的标准值为神经网络的输出。将计算出来的未知土地类型标准值与已知土地类型的标准值相比较 ,可以确定出未知的土地类型。
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| 关 键 词： | 人工神经网络 影像 平均值 标准差 傅利叶频谱 |
| 修稿时间： | 1999-09-17 |
Application of Artificial Neural Network to the Classification of land Cover |
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| CAO Han,SHI Jun. Application of Artificial Neural Network to the Classification of land Cover[J]. Aeronautical Computer Technique, 2000, 30(1): 22-24 |
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| Authors: | CAO Han SHI Jun |
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| Abstract: | A method for land cover classification of aircraft image using an artificial neural network was developed.Inputs to the neural network are means,standard deviations,and average values of Fouriet spectra calculated from a selected pixel window.Outputs from the network ate indices which represent unique land cover types.Knowing these indices,unknown land covers can be located by comparing an index of unknown land cover to that of the known land cover. |
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| Keywords: | artificial neural network image mean standard deviation fourier spectra |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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