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一种频域高分辨率遥感图像线状特征检测方法

周立国1,冯学智2,肖鹏峰3,马蔚纯1   

  1. 1. 复旦大学
    2. 南京大学城市与资源学系
    3. 南京大学
  • 收稿日期:2009-12-17 修回日期:2010-11-02 出版日期:2011-06-25 发布日期:2011-06-25
  • 通讯作者: 周立国

Linear Feature Detection form High-resolution Remotely Sensed Imagery in Frequency Domain

  • Received:2009-12-17 Revised:2010-11-02 Online:2011-06-25 Published:2011-06-25

摘要: 高分辨遥感图像中线状特征等的自动识别与提取是进行遥感图像分析与理解等高层次图像工程的前提和基础,但由于高分辨率遥感图像中细节信息异常丰富,这给特征的提取带来很大干扰。本文引入了一种基于方向和频率特征的遥感图像频域线状特征检测方法,该方法首先通过傅氏变换将图像变换到频率域,在详细分析线状特征和谱线的关系,线状特征和图像频率之间关系的基础上,基于分析得到的方向和频率的参数构造Gabor滤波器进行图像线状特征的提取。并以Quick bird高分辨率遥感图像进行相关提取实验,实验结果表明该方法较好地提取了图像的线状特征,为基于具体频谱分析的高分辨率遥感图像特征的精确提取提供了新思路和方法上的借鉴。

Abstract: Linear feature in remote sense image has great geonomy and geometry significance, linear feature ascertaining and extracting in high resolution remote sense image is the basis and key premise of high-level image project such as image analyzing and understanding. In this paper, we discussed a method based on direction and frequency selected through designing frequency domain filtering for the remote sense image linear feature automatic detection and recognition, first owed to Fourier transformation method transform the image into frequency domain, and analyzed the relations between linearity characteristic and its spectral line, also the relations between the linearity characteristic and image frequency, at the bases of the direction and frequency selected above the Gabor wave filter for image linearity feature extracting was constructed. The relevant extract experiments was tested with Quickbird image, the experiments result indicates that the linearity characteristic being extracted in this method is fairly good, it provided a reference for high-resolution remotely sensed imagery linear feature extracting, and also provided a new ways for feature extract in frequency domain use of high-resolution satellite imagery based on accurately frequency spectrum analysis.