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融合光谱和空间信息的黄河主溜特征提取
引用本文:赵娜,张艳宁,佘红伟,刘学工. 融合光谱和空间信息的黄河主溜特征提取[J]. 微电子学与计算机, 2010, 27(1)
作者姓名:赵娜  张艳宁  佘红伟  刘学工
作者单位:1. 西北工业大学,计算机学院,陕西省语音与图象信息处理重点实验室,陕西,西安,710072
2. 黄河水利委员会信息中心,河南,郑州,450003
基金项目:教育部优秀人才计划,黄河防汛及治黄科技基金,高等学校科技创新工程重大项目 
摘    要:本文基于多光谱遥感图像,提出了一种融合光谱特征和空间信息的主溜特征提取方法.将遥感影像的两大表现形式--光谱和空间信息结合,利用像元及其邻域的关系来描述其空间结构,用方向线来描述黄河主溜,从而确定其位置和走向.实验结果表明,该方法可有效地提取出黄河主溜特征.

关 键 词:多光谱  光谱特征  空间信息  黄河主溜  特征提取

Main-Stream Feature Extraction of the Yellow River Fusing Spectral and Spatial Feature
ZHAO Na,ZHANG Yan-ning,SHE Hong-wei,LIU Xue-gong. Main-Stream Feature Extraction of the Yellow River Fusing Spectral and Spatial Feature[J]. Microelectronics & Computer, 2010, 27(1)
Authors:ZHAO Na  ZHANG Yan-ning  SHE Hong-wei  LIU Xue-gong
Abstract:A new mainstream feature extraction approach is proposed, which efficiently fuses the two main manifestations in remote sensing images: spectral features and spatial information. The approach depicts the spatial structm-es with the relationships between pixels and their neighborhoods, and describes the main-stream with the direction line. Finally, the position and trend of the main-stream line are achieved. The experiments results show that the presented approach is com-petent for main-stream feature extraction and the feature could be extracted effectively.
Keywords:multispectral  spectral feature  spatial feature  main-stream of Yellow River  feature extraction
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