Road centreline extraction from high-resolution imagery based on multiscale structural features and support vector machines

International Journal of Remote Sensing

Volumn 30, Issue 8, 2009, Pages 1977-1987

  Huang, Xin ^a   Zhang, Liangpei ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); EXTRACTION; FEATURE EXTRACTION; OBJECT DETECTION; ROADS AND STREETS; SUPPORT VECTOR MACHINES;

CENTRELINE EXTRACTION; HIGH RESOLUTION IMAGERY; MULTI-SCALE APPROACHES; MULTI-SCALE INFORMATIONS; MULTISPECTRAL DATASETS; SPATIAL INFORMATIONS; SPECTRAL VARIATION; SUPPORT VECTOR MACHINE (SVMS);

ROAD AND STREET MARKINGS;

DETECTION METHOD; IKONOS; ROAD; SATELLITE DATA; SATELLITE IMAGERY; SPECTRAL ANALYSIS;

EID: 67650245545     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802546837     Document Type: Article

References (16)

1. Barzohar, M. and Cooper, D. B. (1996) Automatic finding of main roads in aerial images by using geometric-stochastic models and estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18, pp. 707-721.
2. Binaghi, E., Gallo, I. and Pepe, M. (2003) A cognitive pyramid for contextual classification of remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 41, pp. 2906-2922.
3. Coburn, C. A. and Roberts, A. C. B. (2004) A multiscale texture analysis procedure for improved forest stand classification. International Journal of Remote Sensing, 25, pp. 4287-4308.
4. Cortes, C. and Vapnik, V. (1995) Support vector networks. Machine Learning, 20, pp. 273-297.
5. Dell'Acqua, F. and Gamba, P. (2001) Detection of urban structures in SAR images by robust fuzzy clustering algorithms: The example of street tracking. IEEE Transactions on Geoscience and Remote Sensing, 39, pp. 2287-2297.
6. Foody, G. M. and Mathur, A. (2006) The use of small training sets containing mixed pixels for accurate hard image classification: Training on mixed spectral responses for classification by a SVM. Remote Sensing of Environment, 103, pp. 179-189.
7. Gamba, P., Dell'Acqua, F. and Lisini, G. (2006) Improving urban road extraction in high-resolution images exploiting directional filtering, perceptual grouping, and simple topological concepts. IEEE Geoscience and Remote Sensing Letters, 3, pp. 387-391.
8. Gruen, A. and Li, H. (1997) Semi-automatic linear feature extraction by dynamic programming and LSB-snakes. Photogrammetric Engineering and Remote Sensing, 63, pp. 985-995.
9. Hay, G. J., Blaschke, T., Marceau, D. J. and Bouchard, A. (2003) A comparison of three image-object methods for the multiscale analysis of landscape structure. ISPRS Journal of Photogrammetry and Remote Sensing, 57, pp. 327-345.
10. Huang, X., Zhang, L. and Li, P. (2007) Classification and extraction of spatial features in urban areas using high-resolution multispectral imagery. IEEE Geoscience and Remote Sensing Letters, 4, pp. 260-264.
11. Long, H. and Zhao, Z. (2005) Urban road extraction from high-resolution optical satellite images. International Journal of Remote Sensing, 26, pp. 4907-4921.
12. Richards, J. A. and Jia, X. (1999) Remote Sensing Digital Image Analysis: An Introduction, Springer-Verlag, Berlin, Germany
13. Tupin, F., Maitre, H., Mangin, J. F., Nicolas, J. M. and Pechersky, E. (1998) Detection of linear features in SAR images: Application to road network extraction. IEEE Transactions on Geoscience and Remote Sensing, 36, pp. 434-453.
14. Wang, L., Sousa, W. P. and Gong, P. (2004) Integration of object-based and pixel-based classification for mapping mangroves with IKONOS imagery. International Journal of Remote Sensing, 25, pp. 5655-5668.
15. Yu, Q., Gong, P., Clinton, N., Biging, G. and Schirokauer, D. (2006) Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery. Photogrammetric Engineering and Remote Sensing, 72, pp. 799-811.
16. Zhu, C., Shi, W., Pesaresi, M., Liu, L., Chen, X. and King, B. (2005) The recognition of road network from high-resolution satellite remotely sensed data using image morphological characteristics. International Journal of Remote Sensing, 26, pp. 5493-5508.