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基于分形和Gabor滤波的高分辨率遥感影像分割
引用本文:何文斌,梁利姣.基于分形和Gabor滤波的高分辨率遥感影像分割[J].东莞理工学院学报,2011,18(3):53-57.
作者姓名:何文斌  梁利姣
作者单位:1. 东莞理工学院计算机学院,广东东莞,523808
2. 东莞理工学院城市学院,广东东莞,523106
摘    要:在城市规划、土地利用等应用中常需要对高分率遥感影像进行分割,而传统的滤波器组分解算法把每个波段的能量作为纹理特征进行分割,存在分割精度低,对噪声、灰度变换敏感等缺点.本文提出一种基于图像预滤波和分形特征的纹理特征提取算法,并对提取的特征向量集用K-means算法进行聚类.对天津滨海新区的QuickBird影像的分割实验...

关 键 词:纹理分割  Gabor滤波器  分形特征  K均值

Segmentation of High Resolution Remote Sensing Images Based on Fractals and Image Filtering
HE Wen-bin,LIANG Li-jiao.Segmentation of High Resolution Remote Sensing Images Based on Fractals and Image Filtering[J].Journal of Dongguan Institute of Technology,2011,18(3):53-57.
Authors:HE Wen-bin  LIANG Li-jiao
Institution:HE Wen-bin1 LIANG Li-jiao2(1.Computer Institute,Dongguan University of Technology,Dongguan 523808,China,2.City College of Dongguan University of Technology,Dongguan 523106,China)
Abstract:It is very necessary to segment high resolution remote sensing image in urban planning and land use.Traditionally,filter bank decomposition methods consider the energy in each band as the textural feature,which is sensitive to noise and image intensity.Thus,the segmentation precision is low in some cases.This paper describes a new approach to the segmentation of textured gray-scale images based on image pre-filtering and fractal features.The fractal feature set is clustered by means of K-means.The test of Q...
Keywords:texture segmentation  gabor filters  fractal features  K-means  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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