| 利用分维向量改进神经网络在遥感模式识别中的分类精度 |
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| 引用本文： | 章杨清,刘政凯.利用分维向量改进神经网络在遥感模式识别中的分类精度[J].遥感学报,1994(1). |
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| 作者姓名： | 章杨清 刘政凯 |
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| 作者单位： | 中国科学技术大学 |
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| 摘 要： | 本文介绍了基于ＢＰ神经网络的遥感模式识别方法的特点，同时引入分形维数的概念及其在图像中的计算和应用，并将分维作为反映各类别数据纹理特征的附加波段分量，加到网络的输入层，明显地提高了分类精度。
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| 关 键 词： | 遥感，分形维数，BP神经网络 |
Accuracy Improving of Neural Network Classification for Remotely-sensed Data by Using of Fractal Dimension |
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| Zhang Yangqing,Liu Zhengkai.Accuracy Improving of Neural Network Classification for Remotely-sensed Data by Using of Fractal Dimension[J].Journal of Remote Sensing,1994(1). |
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| Authors: | Zhang Yangqing Liu Zhengkai |
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| Abstract: | This paper has presented a classification method of remotely-sensed Ima-ge data based on BP neural network,and introduced the concept of fractal dimensionwhich describes image texture suitably;The approach is also given for calculatingfractal dimension applied in image field.Finally,fractal dimension is adopted astbe additional sector of input vectors in neural network,which has greatly improvedclassification accuracy. |
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| Keywords: | Remote sensing Fractal dimension BP neural network |
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