| 一种新的高光谱图像分类方法 |
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| 引用本文： | 杨月桃,王茂芝,郭科. 一种新的高光谱图像分类方法[J]. 无线互联科技, 2013, 0(9): 77-77 |
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| 作者姓名： | 杨月桃 王茂芝 郭科 |
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| 作者单位： | 成都理工大学管理科学学院,四川成都610059 |
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| 摘 要： | 基于像元波谱曲线特征提取进而利用所提取的特征进行分类是高光谱图像分类的重要研究内容。提出了一种基于傅里叶变换幅度谱的高光谱遥感图像分类新方法，也就是利用像元渡谱曲线傅里叶变换幅度谱最值单一特征实现对地物的分类识别。
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| 关 键 词： | 高光谱图像分类 特征提取 傅里叶变换 |
New Method for Hyper-spectral Remote Sensing Image Classification |
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| YANG Yuetao,WAMG Maozhi,GUO Ke. New Method for Hyper-spectral Remote Sensing Image Classification[J]. Wireless Internet Technology, 2013, 0(9): 77-77 |
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| Authors: | YANG Yuetao WAMG Maozhi GUO Ke |
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| Affiliation: | (Sichuan, Chengdu University of Technology, Management Science Institute, Department of Mathematics,610059) |
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| Abstract: | Based on the feature pixel spectrum curve extraction and use the extracted features for classification is an important research content of hyper-spectral image classification. Puts forward a new method of hyper-spectral remote sensing image classification based on Fourier transform spectrum, namely the use of pixel spectral curves of Fourier transform spectrum maximum single feature classification and recognition of objects. |
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| Keywords: | hyper-spectral remote sensing image classification feature extraction Fourier transform |
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