| 基于灰度共生矩阵提取纹理特征图像的研究 |
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| 引用本文： | 冯建辉,杨玉静.基于灰度共生矩阵提取纹理特征图像的研究[J].北京测绘,2007(3):19-22. |
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| 作者姓名： | 冯建辉 杨玉静 |
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| 作者单位： | 1. 昆明理工大学国土资源工程学院,云南,昆明,650093
2. 河北省第一测绘院,河北,石家庄,050031 |
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| 摘 要： | 在遥感影像分类的过程中非光谱特征起着重要的辅助作用。纹理特征作为一种重要的非光谱特征对于遥感影像分类精度的提高也有很重要的作用。本文主要研究了通过灰度共生矩阵提取纹理特征图像的方法,对该方法提取纹理特征图像进行了相关的实验分析。并将其在分类中的应用进行实验,证明了灰度共生矩阵提取的纹理特征对图像分类精度提高起到一定的作用。
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| 关 键 词： | 灰度共生矩阵 纹理 特征图像 分类 |
| 收稿时间： | 2007-02-06 |
| 修稿时间： | 2007年2月6日 |
Study of Texture Images Extraction Based on Gray Level Co Occurence Matrix |
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| FENG Jian-hui,YANG Yu-jing.Study of Texture Images Extraction Based on Gray Level Co Occurence Matrix[J].Beijing Surveying and Mapping,2007(3):19-22. |
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| Authors: | FENG Jian-hui YANG Yu-jing |
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| Institution: | Faculty of Land Resource Engineering of Kuming University of Science and Technology;Kuming;Yunnan;650093 |
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| Abstract: | The non-spectral characteristics play an important role in assisting the image classification in remote sensing, as these characteristics can avoid the mistake classification maken by the "the same object with different spectrum" phenomenons. The texture ch aracteristic is one kind of non-spectral characteristics. It is also helpful to improve the classification precision. In this paper, co-occurrence matrix applied to extract the texture images based on pixel level is discussed and experiments are carried ... |
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| Keywords: | Gray level Co-occurrrence Matrix Texture |
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