计算机应用 ›› 2011, Vol. 31 ›› Issue (09): 2481-2484.DOI: 10.3724/SP.J.1087.2011.02481

• 图形图像技术 • 上一篇    下一篇

基于灰度形态学与小波相位滤波的高分辨率遥感影像边缘检测

王朋伟,牛瑞卿   

  1. 中国地质大学 地球物理与空间信息学院,武汉 430074
  • 收稿日期:2011-03-28 修回日期:2011-05-18 发布日期:2011-09-01 出版日期:2011-09-01
  • 通讯作者: 王朋伟
  • 作者简介:王朋伟(1985-),男,陕西咸阳人,硕士研究生,主要研究方向:遥感地质;
    牛瑞卿(1969-),男,河南南阳人,教授,博士,主要研究方向:天空地一体化地球观测信息融合与可视化、人类工程活动与岩土体变化遥感检测技术、时空多要素遥感信息定量化和反演。
  • 基金资助:
    国家863计划项目(2009AA122004);国土资源部三峡库区三期地质灾害防治重大科学研究项目(SXKY3-3-2)

Edge detection of high resolution remote sensing images based on morphology and wavelet phase filtering

WANG Peng-wei,NIU Rui-qing   

  1. Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan Hubei 430074, China
  • Received:2011-03-28 Revised:2011-05-18 Online:2011-09-01 Published:2011-09-01
  • Contact: WANG Peng-wei

摘要: 为了更好地获取高分辨率遥感影像的边缘信息,提出一种新的影像边缘检测方法。该方法首先利用主成分分析(PCA)变换获取影像的主要信息;然后采用symletsA小波对其进行分解,并用形态学算子对各尺度影像进行处理;最后利用小波相位滤波算法在同一尺度上进行相关性滤波以增强图像边缘,并通过OTSU算法进行分割获取其边缘信息。结果表明:与现有算法相比,该方法对边缘的定位更加精确,边缘检测效果更加明显。

关键词: 遥感影像, symletsA小波变换, 形态学, 小波相位滤波, 边缘检测

Abstract: In order to catch the edge information of high resolution remote sensing image more effectively, a new method to get image edge was proposed. Firstly, the main information was collected by Principal Component Analysis (PCA) transform. Secondly, the information was divided with symletsA wavelet while the image in each scale was processed with morphological operators. Finally, the edge of image was enhanced by implementing correlation filtering to the image in the same scale with filtering algorithm of wavelet phase, and the edge information was caught by partitioning the image with OTSU algorithm. The results show that, compared with the existing algorithms, the edge of image is located more accurately and the edge detection effect is more evident with this method.

Key words: sensing image, symletsA wavelet transform, morphology, wavelet phase filtering, edge detection

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