邵振峰, 朱先强, 张斯斯. 利用Contourlet变换和谱直方图进行多源遥感影像纹理特征检索[J]. 武汉大学学报 ( 信息科学版), 2010, 35(6): 723-726.
引用本文: 邵振峰, 朱先强, 张斯斯. 利用Contourlet变换和谱直方图进行多源遥感影像纹理特征检索[J]. 武汉大学学报 ( 信息科学版), 2010, 35(6): 723-726.
SHAO Zhenfeng, ZHU Xianqiang, ZHANG Sisi. Texture Retrieval for Multi-source Remote Sensing Image Based on Contourlet Transform and Spectral Histogram[J]. Geomatics and Information Science of Wuhan University, 2010, 35(6): 723-726.
Citation: SHAO Zhenfeng, ZHU Xianqiang, ZHANG Sisi. Texture Retrieval for Multi-source Remote Sensing Image Based on Contourlet Transform and Spectral Histogram[J]. Geomatics and Information Science of Wuhan University, 2010, 35(6): 723-726.

利用Contourlet变换和谱直方图进行多源遥感影像纹理特征检索

Texture Retrieval for Multi-source Remote Sensing Image Based on Contourlet Transform and Spectral Histogram

  • 摘要: 将Contourlet变换应用于多源遥感影像多尺度多方向纹理特征提取,分别采用Contourlet变换低频子带谱直方图和多尺度多方向高频子带谱直方图实现多源遥感影像库的初步过滤和精确检索。通过USC和QuickBird影像组成的纹理检索实验表明,所提出的检索算法在检索精度和效率方面优于小波变换。

     

    Abstract: A two-step progressive texture retrieval algorithm for multi-source remotely sensed imagery based on Contourlet transform and spectral histogram is proposed.Firstly,the Contourlet transform is applied to decompose texture features of remotely sensed imagery at different scales and different directions.Then,low-pass signal and high-pass signals are adopted to realize elementary retrieval and exact retrieval relatively.The experiments on texture database obtained from USC and QucikBird images show that the proposed algorithm not only utilizes the advantages of Contourlet on multi-scale and multi-direction texture feature extraction,but also makes full use of the efficiency of spectral histogram on distributed statistical feature representation.On the aspect of precision and efficiency,Contourlet transform outperforms wavelet transform.The proposed method provides a powerful tool for texture retrieval of remote sensing image.

     

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