Urban Road Extraction High resolution remotely sensed imagery With Gabor texture and geometrical Features
Abstract
Through the feature analysis of the frequency curve , The paper proposed a new method which
integrated Gabor texture and geometrical features in the urban road Ction from high resolution remotely sensed
imagery. in the experiment, the texture features in different frequencies and Different directions were obtained by
a given bank of Gabor filters,andthen K-means clus Tering method is applied for imagery segmentation. The
morphological methods were utilized to separate the road objects from Non-^oadobjects,<b 21>and the
geometrical features were applied to take out the non-road. Then the extracted roads were regulated by
mathematical morphology. The result showed this proposed method could effectively extract the urban road
information from high resolution Remo Tely sensed imagery
References
CHRISTOPHE E, Inglada J. Robust Road extraction for
High resolution satellite image [C] ^proceedings the IEEE International conference on image processing. San Antonio, 2007:437-440.
jialing , Zhao L , Zhang Jianhui , , and so on . Is based on the Landsat etm+ Image City
Road Information extraction Research J]. Remote sensing technology and Applications , ???? , (5): 478-482.
GAMBA P, DELL ACQUA F, Lisini G. Improving Urban Road extraction in high resolution Images EXP loiting
directional filtering, perceptual Grouping and simple topologicalconcepts[ J]. IEEE Geoscience and Remote
Sensing Letters, 2006,3 (3) :387-391.
Shingwen , Ding . based on multiple seed point fuzzy connectivity SPOT Image Path extract all Journal of
Surveying and Mapping science and technology , 2009,26 (3): 190494.
Zhou Jiachang, , Zhou An Send, Tau , etc . A high-resolution remote sensing image Urban Road net Fetch
method JJ. Journal of South Central University : Natural Science Edition , 2013,6 : 2385-2391.
Xu Rui. . a method for extracting urban roads from remote sensing images combining shape and homogeneity
J. Journal of Surveying and Mapping science and technology , 2014,31 (1) : 53-56.
Wang kun couldn't, Wan Chuan, Cuiling . fusion of high-resolution remote sensing of texture and shape
features Image Path Extraction J. Remote Sensing information , (5) : 741.
Hu Haixu, Wang, He Houjun. . high score based on texture features and mathematical morphology resolution image
City Road extraction J. Geography and Geographic information Science , 2008,24 (6) :46-49.
Huanhuan , Zhu Heng, Wang Ruiyan. . application of texture and geometry features in road extraction
J. Computer and modernization , (7) : å±® 9.
Wang Ke , Xiaopeng , Feng Xuezhi , , and so on . High resolution remote sensing map based on frequency domain
filtering extracting information like City watercourses J. Journal of Remote Sensing , 2013,17 (2): 269485.
Zhao , Feng Xuezhi , Xiaopeng . Remote sensing image based on frequency domain feature City Road Road green
space Cover outline extraction J. Remote Sensing information , 2014,29 (3): 50-56.
Huangqiuyan , Xiaopeng , Feng Xuezhi , , and so on . a Is based on Tvgabor high of the model Resolution Remote
sensing image farmland information extraction method J. Remote Sensing information , 2014,29 (2) :79-84.
Conners R W, HARLOW CA. A theoretical Comparison of texture algorithms J. IEEE Transactions on pattern
analysis and Machine Intelligence, 1980 (3): 204-222.
Copyright (c) 2018 Remote Sensing
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
