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,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
1. CHRISTOPHE E, Inglada J. Robust Road
extraction for
High resolution satellite image [C] ^proceedingsthe
IEEE International conference on image
processing. San Antonio, 2007:437-440.
2. 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.
3. 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
andRemote Sensing Letters, 2006,3 (3) :387-
391.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. Huanhuan , Zhu Heng, Wang Ruiyan. .
application of texture and geometry features in
road extraction
J. Computer and modernization , (7) : 屮 9.
10. 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.
11. 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.
12. 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.
13. Conners R W, HARLOW CA. A theoretical
Comparison of texture algorithms J. IEEE
Transactions on pattern analysis and
Machine Intelligence, 1980 (3): 204-222.
14. kamarainenjk, Kyrkiv, Kalviainenh.
invariance Properties of Gabor Filter
Based Features-overview and
application J]. IEEE transactions on
Image Processing, 2006 (5): 1088-4099.
15. manjunath B, MA W. Texture Feature for
browsing and retrieval of the Image Data J.
IEEE Transactions on pattern analysis and
Machine Intelligence, 1996,18 (8): 837-842.
16. Wang Pei, Feng Xuezhi, Xiaopeng , etc .
for remote sensing image texture
extraction Ga-bor Filter Group parameter
solution Research J. Remote Sensing
information , 2008 (6): 5 Seven .
17. JAIN A K, Farrokhniaf. Unsupervised texture
segmentation Using Gabor Filters J]. Pattern
Recognition, 1991 (): 1167-1186.
18. Huang . High resolution remote sensing
image Multiscale texture , shape feature
extraction and facing Object Category
Research [D]. Wuhan : Wuhan University ,
2009:23.
19. Tri Yu. . image processing and parsing one by
one Mathematical Morphology method and
application [M]. North Beijing : Science
Press , 2000:43-51.
20. ZHANG J G, TAN T N, MA L. Invariant
Texture Segmentation Via circular Gabor
Filter [C] // Proceedings of the 16th iapr
International Conference on pattern
Recognition (IC PR). Quebec, Canada,
2002:901-904.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution-Noncommercial 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit, that the work is not used for commercial purposes, and that in the event of reuse or distribution, the terms of this license are made clear. With this license, the authors hold the copyright without restrictions and are allowed to retain publishing rights without restrictions as long as this journal is the original publisher of the articles.
