| 基于双树复小波和灰度共生矩阵的遥感图像分割 |
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| 引用本文： | 刘小丹,潘赢.基于双树复小波和灰度共生矩阵的遥感图像分割[J].微型机与应用,2011,30(12):40-43. |
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| 作者姓名： | 刘小丹 潘赢 |
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| 作者单位： | 辽宁师范大学计算机与信息技术学院,辽宁大连,116081 |
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| 基金项目： | 辽宁省高等学校优秀人才支持计划(200811833) |
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| 摘 要： | 提出了一种将双树复小波变换和灰度共生矩阵相结合描述遥感图像局部纹理特征并用于分割的方法。该方法采用双树复小波高频模值子带Gamma分布与Lognormal分布参数组合特征、灰度共生矩阵特征组成的联合纹理特征作为遥感图像每一像素特征,然后用Canberra距离进行相似性度量,最终通过聚类完成遥感图像分割。实验结果表明,该纹理特征提取方法可以有效地表征遥感图像的纹理,得到更为精确的遥感图像分割结果。
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| 关 键 词： | 双树复小波变换 灰度共生矩阵 纹理特征 遥感图像分割 |
Remote sensing image segmentation based on dual-tree complex wavelet transform and gray-level co-occurrence matrix |
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| Liu Xiaodan,Pan Ying.Remote sensing image segmentation based on dual-tree complex wavelet transform and gray-level co-occurrence matrix[J].Microcomputer & its Applications,2011,30(12):40-43. |
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| Authors: | Liu Xiaodan Pan Ying |
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| Affiliation: | Liu Xiaodan,Pan Ying(Department of Computer and Information Technology,Liaoning Normal University,Dalian 116081,China) |
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| Abstract: | In this paper,we propose a method to describe remote sensing image texture features based on dual-tree complex wavelet transform(DT-CWT) and Gray-level Co-occurrence Matrix.This method uses DT-CWT high-frequency sub-bands' Gamma and Lognormal parameters and features of GLCM as the feature vector of remote sensing image pixels.Then,uses Canberra distance to measure the similarity.At last,uses clustering to complete remote sensing image segmentation.The results of experiment prove that the method can efficien... |
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| Keywords: | DT-CWT gray-level co-occurrence matrix texture feature remote sensing image segmentation |
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