基于三维光谱角统计的光谱图像信息提取方法  

An Information Extraction Method of Spectral Images Based on 3D Spectral Angle Statistics

作　　者：冯维一[1] 陈钱[1] 何伟基[1] 顾国华[1] 苗壮 

机构地区：[1]南京理工大学,江苏省光谱成像与智能感知重点实验室,江苏南京210094 [2]西安微光夜视技术重点实验室,陕西西安710065

出　　处：《光谱学与光谱分析》2013年第5期1285-1289,共5页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金青年项目(61101196),国家自然科学基金项目(61271332);国家博士后基金项目(2012M521085)资助

摘　　要：提出了一种新的基于三维光谱角统计的光谱图像信息提取方法。通过对影像上横向、竖向和对角方向相邻像元间采用光谱角计算相似度,构成一个三维的信息统计模型。该模型反映了相邻像元间所代表物质的相似度,通过在统计模型中设置不同的阈值和提取不同轴向的切片,可以从影像中提取代表同种物质的均匀区域和边缘信息,用于监督分类中训练样本的采集。该统计方法与直方图、散点图等传统统计工具相比,鲁棒性和可靠性更高,提取的信息更丰富。A novel information extraction method of spectral images based on 3D spectral angle statistics is proposed. By compu- ting the spectral angle between adjacent pixels of the image in the horizontal, vertical and diagonal direction respectively, a 3D in- formation statistical model was then constructed. This model reflects the similarity between adjacent pixels which represent some kind of materials. Uniform areas and edge information of the same material, which will be used for the training sample collection in supervised classification, can be extracted from the image if different threshold values are set and slices are extracted from dif- ferent axes in the statistical model. Compared with the traditional statistical tools, such as the histogram and scatter diagram, this statistical method has higher robustness and reliability. And it can obtain more information extracted from the spectral ima- ges.

关 键 词：三维光谱角 高光谱 直方图 散点图 端元提取 

分 类 号：O433[机械工程—光学工程]