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高光谱影像光谱响应曲线分维计算
引用本文:舒宁,苏俊英.高光谱影像光谱响应曲线分维计算[J].遥感信息,2009(1):23-26.
作者姓名:舒宁  苏俊英
作者单位:武汉大学遥感信息工程学院,武汉,430079
基金项目:国家重点基础研究发展规划(973计划),国家自然科学基金 
摘    要:高光谱影像光谱响应曲线包含丰富的光谱特征,分形维值可以表征复杂光谱响应曲线特征,提出了步长测量法光谱响应曲线分形维值计算算法及高光谱分形特征影像的生成流程,对OMIS影像上不同类型地物样本的光谱曲线分维特征计算结果表明,分维是一种有效表达像元光谱信息的特征值。讨论了光谱响应曲线分维值对于高光谱数据处理的意义。

关 键 词:高光谱影像  光谱响应曲线  分形特征

Estimation of Fractal Dimension for Spectral Response Curve of Hyperspectral Images
SHU Ning,SU Jun-ying.Estimation of Fractal Dimension for Spectral Response Curve of Hyperspectral Images[J].Remote Sensing Information,2009(1):23-26.
Authors:SHU Ning  SU Jun-ying
Institution:(School of Remote Sensing and Information Engineering, Wuhan University , Wuhan 430079)
Abstract:Spectral response curve of hyperspectral image contains rich spectral characteristics. Fractal dimension can represent feature of complex spectral curve. A step measurement fractal dimension calculation algorithm of hyperspectral curve is proposed. A fractal feature image generation procedure of hyperspectral data is designed. Experiments for fractal dimension values of different objects' spectral curves show fractal can be used to represent the spectral feature. Finally, the applicability of spectral curve fractal dimension to hyperspectral data processing is discussed.
Keywords:hyperspectral images  spectral response curve  fractal feature
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