应用科学学报 ›› 2012, Vol. 30 ›› Issue (6): 635-641.doi: 10.3969/j.issn.0255-8297.2012.06.013

• 信号与信息处理 • 上一篇    下一篇

一种边缘增强的光谱响应曲线分形维计算方法

胡庆武1, 袁辉1, 苏俊英2   

  1. 1. 武汉大学遥感信息工程学院,武汉430079
    2. 武汉大学资源与环境科学学院,武汉430079
  • 收稿日期:2012-06-24 修回日期:2012-10-15 出版日期:2012-11-27 发布日期:2012-10-15
  • 通信作者: 胡庆武,副教授,研究方向:遥感影像处理,E-mail: huqw@whu.edu.cn
  • 作者简介:胡庆武,副教授,研究方向:遥感影像处理,E-mail: huqw@whu.edu.cn
  • 基金资助:

    国家自然科学基金(No. 40901164)资助

Fractal Dimension Calculation of Spectrum Response Curve for Edge Enhancement

HU Qing-wu1, YUAN Hui1, SU Jun-ying2   

  1. 1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
    2. School of Resource and Environment Science, Wuhan University, Wuhan 430079, China
  • Received:2012-06-24 Revised:2012-10-15 Online:2012-11-27 Published:2012-10-15

摘要: 提出了一种用于高光谱影像边缘增强的光谱响应曲线差分步长分形维特征值计算方法. 该方法首先对高光谱响应曲线进行差分处理,并利用步长分形维算法计算差分光谱曲线分形维值,最后根据差分分形维值计算高光谱特征影像. 实验结果表明,本文提出的差分步长分形维算法较原始步长法更能保持光谱影像细节并增强边缘,同时减弱噪声影响,可用于高光谱影像特征提取、分析和解译.

关键词: 分形维, 光谱响应曲线, 差分步长分形维, 边缘增强

Abstract: In this paper, an algorithm for differential step measurement fractal dimension calculation of the spectrum response curve is proposed for image edge enhancement. A differential spectrum curve is first calculated. A step measurement fractal dimension algorithm is then presented for the differential spectrum curve. Finally, the differential fractal feature image is generated for the feature analysis of hyperspectral images. Experiment results show that the presented algorithm can enhance edges while preserving detailed textures and reducing noise. The proposed method can be used in the feature extraction and analysis of hyperspectral images.

Key words: spectrum response curve, differential step fractal measurement, edge enhancement,  fractal dimension

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