| 概率神经网络在超谱图像分类中的应用 |
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| 引用本文： | 董延华,;白文秀,;张钧萍.概率神经网络在超谱图像分类中的应用[J].长春邮电学院学报,2008(2):122-125. |
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| 作者姓名： | 董延华 ;白文秀 ;张钧萍 |
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| 作者单位： | [1]吉林师范大学计算机学院,吉林四平136000; [2]哈尔滨工业大学电子信息与通信工程系,黑龙江哈尔滨150001 |
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| 基金项目： | 基金项目：国家自然科学基金资助项臼（60302019） |
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| 摘 要： | 针对超谱图像高维光谱信息给传统分类带来的困难，结合径向基神经网络的原理，提出了一种概率神经网络分类方法。并将其成功应用到具体超谱图像数据中，验证了概率神经网络分类器的有效性。通过实验仿真，研究了特征向量维数对分类结果的影响，证明概率神经网络可应用于大于100个波段的超谱图像数据。
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| 关 键 词： | 概率神经网络 超谱图像分类 特征矢晕维数 |
Research on Application of Probability Neural Network in Hyperspetral Image Classification |
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| Affiliation: | DONG Yan-hua1,2, BAI Wen-xiu1, ZHANG Jun-ping2( 1. College of Computer, Jilin Normal University, Siping 136000, China; 2. Department of Electronics and Communieation Engineering, Harbin Industrial Technology University, Harbin 150001, China) |
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| Abstract: | Aiming at based on the theory of method is illustrated, tion. research on the the difficulty of traditional classification brought by hyperspectral image＇s high dimension, radical basis function network, a kind of PNN （Probability Neural Network） classification and its affectivity is verified by its application in hyperspectral image. Through the emula-effect of feature image＇s dimensions to classification result, proves the PNN＇s applicability high dimension hyperspectral image. |
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| Keywords: | probability neural network （PNN） hyperspetral image classification feature image＇s dimensions |
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