| 基于纹理和光谱信息的高分辨率遥感影像分类 |
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| 引用本文： | 胡文元,聂倩,黄小川.基于纹理和光谱信息的高分辨率遥感影像分类[J].测绘信息与工程,2009,34(1):16-18. |
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| 作者姓名： | 胡文元 聂倩 黄小川 |
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| 作者单位： | 1. 山西省工程测绘院,太原市鱼池街9号,030002
2. 武汉大学测绘学院,武汉市珞喻路129号,430079 |
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| 基金项目： | 国家NSFC创新研究群体科学基金 |
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| 摘 要： | 提出了一种基于纹理和光谱信息的高分辨率遥感影像分类方法，阐述了其基本原理，并通过试验的对比和分析，证明了利用光谱特征与纹理特征相结合进行分类比单纯运用光谱特征进行分类效果更好。
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| 关 键 词： | 影像分类 纹理信息 光谱信息 灰度共生矩阵 |
A METHOD FOR CLASSIFICATION OF HIGH SPATIAL RESOLUTION REMOTELY SENSED IMAGES BASED ON TEXTURE AND SPECTRAL INFORMATION |
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| HU Wenyuan,NIE Qian,HUANG Xiaochuan.A METHOD FOR CLASSIFICATION OF HIGH SPATIAL RESOLUTION REMOTELY SENSED IMAGES BASED ON TEXTURE AND SPECTRAL INFORMATION[J].Journal of Geomatics,2009,34(1):16-18. |
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| Authors: | HU Wenyuan NIE Qian HUANG Xiaochuan |
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| Institution: | HU Wenyuan, NIE Qian, HUANG Xiaochuan (1 Institute of Shanxi Surveying end Mapping, 9 Yuchi Street, Taiyuan 030002, China;2 School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China) |
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| Abstract: | A classification method for high resolution remotely sensed images based on texture and spectral information is proposed. Its theory and method are expatiated. Experimental results show that the performance of the presented algorithm is more efficient than the one of only using spectrum feature. |
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| Keywords: | image classification texture Information spectral information gray level co-oc-currence matrices |
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