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基于Gabor滤波和局部特征点密度的居民区提取

DOI: 10.6046/gtzyyg.2015.03.11, PP. 59-64

Keywords: 高空间分辨率遥感图像,多方向,Gabor滤波,局部特征点密度

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Abstract:

通过对高空间分辨率遥感图像(简称高分图像)中的居民区纹理结构信息的分析,提出了一种基于Gabor滤波和局部特征点密度的居民区提取方法。该方法首先对高分图像进行多方向Gabor滤波,得到多个方向的幅值信息,并通过阈值处理和筛选后处理获取图像的特征点;然后对特征点求取局部密度,获取居民区的范围;再用数学形态学变换进行细微处理,最终提取出图像中的居民区。以WorldView2真彩色图像为实验数据对不同方法进行验证及对比分析的结果表明,该方法具有较高的提取精度和计算效率。

References

[1]  王琰,舒宁,龚龑,等.基于类别光谱变化规律的土地利用变化检测[J].国土资源遥感,2012,24(3):92-96. Wang Y,Shu N,Gong Y,et al.Land use change detection based on class spectral change rule[J].Remote Sensing for Land and Resources,2012,24(3):92-96.doi:10.6046/gtzyyg.2012.03.17.
[2]  陈征,胡德勇,曾文华,等.基于TM图像和夜间灯光数据的区域城镇扩张监测——以浙江省为例[J].国土资源遥感,2014,26(1):83-89. Chen Z,Hu D Y,Zeng W H,et al.TM image and night-time light data to monitoring regional urban expansion:A case study of Zhejiang Province[J].Remote Sensing for Land and Resources,2014,26(1):83-89.doi:10.6046/gtzyyg.2014.01.15.
[3]  Benediktsson J A,Pesaresi M,Amason K.Classification and feature extraction for remote sensing images from urban areas based on morphological transformations[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(9):1940-1949.
[4]  Zhong P,Wang R S.A multiple conditional random fields ensemble model for urban area detection in remote sensing optical images[J].IEEE Transactions on Geoscience and Remote Sensing,2007,45(12):3978-3988.
[5]  张春晓,候伟,刘翔,等.基于面向对象和影像认知的遥感影像分类方法——以都江堰向峨乡区域为例[J].测绘通报,2010(4):11-14. Zhang C X,Hou W,Liu X,et al.Remote sensing image classification based on object-oriented and image cognition:A case study in Xiang'e,Dujiangyan[J].Bulletin of Surveying and Mapping,2010(4):11-14.
[6]  潘励,张志华,张剑清.融合区域分割和边缘信息的居民地提取方法[J].武汉大学学报:信息科学版,2006,31(8):671-674. Pan L,Zhang Z H,Zhang J Q.Residential areas recognition by fusing region data and edge features[J].Geomatics and Information Science of Wuhan University,2006,31(8):671-674.
[7]  Hu X Y,Shen J J,Shan J,et al.Local edge distributions for detection of salient structure textures and objects[J].IEEE Geoscience and Remote Sensing Letters,2013,10(3):466-470.
[8]  Sirmacek B,Unsalan C.Urban-area and building detection using SIFT keypoints and graph theory[J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(4):1156-1167.
[9]  Sirmacek B,Unsalan C.Urban area detection using local feature points and spatial voting[J].IEEE Geoscience and Remote Sensing Letters,2010,7(1):146-150.
[10]  陈洪,陶超,邹峥嵘,等.一种新的高分辨率遥感影像城区提取方法[J].武汉大学学报:信息科学版,2013,38(9):1063-1067. Chen H,Tao C,Zou Z R,et al.Automatic urban area extraction using a Gabor filter and high-resolution remote sensing imagery[J].Geomatics and Information Science of Wuhan University,2013,38(9):1063-1067.
[11]  施蓓琦,刘春,陈能,等.利用高光谱遥感影像纹理滤波的城市居民地识别[J].武汉大学学报:信息科学版,2012,37(8):915-920. Shi B Q,Liu C,Chen N,et al.Residential area recognition using texture filtering from hyper-spectral remote sensing imagery[J].Geomatics and Information Science of Wuhan University,2012,37(8):915-920.
[12]  Otsu N.A threshold selection method from gray-level histograms[J].IEEE Transaction on System Man and Cybernetic,1979,9(1):62-66.

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