全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

一种提取遥感影像中道路信息的方法

DOI: 10.6046/gtzyyg.2015.02.09, PP. 56-62

Keywords: 多种类型道路,信息提取,Mean,Shift,阈值分割

Full-Text   Cite this paper   Add to My Lib

Abstract:

由于合理有效地选择分割阈值较难,因此基于阈值分割的道路信息提取方法对于遥感影像中含有多种类型道路、或非道路地物干扰比较明显的情况适用性不理想。为此,提出了一种将MeanShift和阈值分割相结合的方法来提取道路信息。首先,采用MeanShift方法对遥感影像进行平滑处理,在较好地保持道路边缘信息的同时使道路内部的纹理分布更加均匀;其次,对平滑处理后的影像进行MeanShift分割处理,将具有相同或相似灰度值的道路用一种灰度值显示;然后,选择灰度直方图中像素数量值高的线所对应的灰度值作为分割区间边界点进行多阈值分割,得到初始道路信息;最后,对初始道路信息进行后处理,得到最终的道路信息。实验证明,该方法可以完成对遥感影像中道路信息的提取,拓宽了阈值分割方法提取道路信息的使用范围。

References

[1]  周安发,周家香.一种高分辨率遥感影像道路信息提取方法[J].遥感技术与应用,2012,27(1):94-99. Zhou A F,Zhou J X.A Methodology for road extraction from high resolution remote sensing images[J].Remote Sensing Technology and Application,2012,27(1):94-99.
[2]  周家香,周安发,陶超,等.一种高分辨率遥感影像城区道路网提取方法[J].中南大学学报:自然科学版,2013,44(6):2385-2391. Zhou J X,Zhou A F,Tao C,et al.A methodology for urban roads network extraction from high resolution remote sensing imagery[J].Journal of Central South University:Science and Technology,2013,44(6):2385-2391.
[3]  蔡红玥,姚国清.基于分水岭算法的高分遥感图像道路提取优化方法[J].国土资源遥感,2013,25(3):25-29. Cai H Y,Yao G Q.Optimized method for road extraction from high resolution remote sensing image based on watershed algorithm[J].Remote Sensing for Land and Resources,2013,25(3):25-29.doi:10.6046/gtzyyg.2013.03.05.
[4]  曾发明,杨波,吴德文,等.基于Canny边缘检测算子的矿区道路提取[J].国土资源遥感,2013,25(4):72-78. Zeng F M,Yang B,Wu D W,et al.Extraction of roads in mining area based on Canny edge detection operator[J].Remote Sensing for Land and Resources,2013,25(4):72-78.doi:10.6046/gtzyyg.2013.04.12.
[5]  张雷雨,邵永社,杨毅,等.基于改进的Mean Shift方法的高分辨率遥感影像道路提取[J].遥感信息,2010(4):3-7. Zhang L Y,Shao Y S,Yang Y,et al.Road extraction from high resolution remote sensing images based on the improved mean shift algorithm method[J].Remote Sensing Information,2010(4):3-7.
[6]  Fukunaga K,Hostetler L.The estimation of the gradient of a density function,with applications in pattern recognition[J].IEEE Transactions on Information Theory,1975,21(1):32-40.
[7]  Cheng Y Z.Mean Shift,Mode Seeking,and Clustering[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1995,17(8):790-799.
[8]  Comaniciu D,Meer P.Robust analysis of feature spaces:Color image segmentation[C]//IEEE Computer Society Conference on Computer Vision and Pattern Recognition.New York:IEEE,1997:750-755.
[9]  Comaniciu D,Ramesh V,Meer P.The variable bandwidth mean shift and data-driven scale selection[C]//IEEE International Conference on Computer Vision.New York:IEEE,2001(1):438- 445.
[10]  Comaniciu D,Meer P.Mean shift:A robust approach toward feature space analysis[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(5):603-619.
[11]  Comaniciu D.An algorithm for data-driven bandwidth selection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2003,25(2):281-288.
[12]  蒋菱.基于迭代均值漂移滤波图像分割新算法[J].微电子学与计算机,2011,28(9):147-150. Jiang L.Image segmentation based on the mean shift smoothing filter algorithm[J]. Microelectronics & Computer,2011,28(9):147- 150.
[13]  廖建勇,郭斯羽,黄梓效.基于Mean Shift聚类的最大熵图像分割方法[J].计算机仿真,2009,26(9):187-222. Liao J Y,Guo S Y,Huang Z X.A maximum entropy segmentation method based on mean shift clustering[J].Computer Simulation,2009,26(9):187-222.
[14]  高秀娟.图像分割的理论、方法及应用[D].长春:吉林大学,2006:3-7. Gao X J.The Theories,Methods and Applications of Image Segmentation[D].Changchun:Jilin University,2006:3-7.
[15]  吴亮,胡云安.遥感图像自动道路提取方法综述[J].自动化学报,2010,36(7):912-922. Wu L,Hu Y A.A survey of automatic road extraction from remote sensing images[J].Acta Automatica Sinica,2010,36(7):912-922.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133