| 纹理特征提取及辅助遥感影像分类技术研究 |
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| 引用本文： | 杨玉静,冯建辉.纹理特征提取及辅助遥感影像分类技术研究[J].海洋测绘,2008,28(4):37-40. |
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| 作者姓名： | 杨玉静 冯建辉 |
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| 作者单位： | 1. 河北省第一测绘院,河北,石家庄,050031
2. 昆明理工大学,国土资源工程学院,云南,昆明,650093 |
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| 摘 要： | 研究了利用灰度共生矩阵提取纹理特征的方法，并对利用纹理特征影像辅助光谱特征分类的方法进行了研究。实验结果表明，纹理特征辅助光谱特征分类能够提高遥感影像分类的准确性和精度。
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| 关 键 词： | 遥感 辅助分类 纹理特征 灰度共生矩阵 |
Research on Extraction and Assistant Classification of Remote Sensing for Texture Feature |
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| YANG Yu-jing,FENG Jian-hui.Research on Extraction and Assistant Classification of Remote Sensing for Texture Feature[J].Hydrographic Surveying and Charting,2008,28(4):37-40. |
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| Authors: | YANG Yu-jing FENG Jian-hui |
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| Institution: | YANG Yu-jing ,FENG Jian-hui (1. The first Institute of Surveying and Mapping of Hebei Province, Shijiazhuang, Hebei ,050031; 2. Faculty of Land Resource Engineering of Kunming University of Science and Technology, Kunming, Yunnan,650093) |
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| Abstract: | With the development of high resolution remote sensing satellite,people hope to obtains more useful data and the information from the remote sensing images.So the classification of remote sensing images becomes especially important.But the accuracy based on the spectral feature of the remote images classification is too low and could not meet the needs of production.So using other means to assist and improve the classification of remote sensing images become an important development direction in the future.So that in this paper,the method in which the texture feature images are extracted by the gray level co-occurrence matrix and the classifications are carried out by combined the texture features with the spectral features is researched.The test results show that the assistant classification mentioned could increase the classification veracity and accuracy of remote sensing images. |
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| Keywords: | remote sensing assistant classification texture feature gray level co-occurrence matrix |
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