Road Extraction Using Topological Derivative and Mathematical Morphology-Reference-Cited by-同舟云学术

Road Extraction Using Topological Derivative and Mathematical Morphology

Published:2013-01-04 Issue:3 Volume:41 Page:719-724
ISSN:0255-660X
Container-title:Journal of the Indian Society of Remote Sensing
language:en
Short-container-title:J Indian Soc Remote Sens

Author:

Anil P. N.,Natarajan S.

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Link

http://link.springer.com/content/pdf/10.1007/s12524-012-0231-6.pdf

Reference17 articles.

1. Agouris, P., Gyftakis, S., & Stefanidis, A. (2001). Dynamic node distribution in adaptive snakes for road extraction. In Vision interface ’01, Ottawa (pp. 134–140).

2. Anil, P.N., & Natarajan, S. (2010a). Automatic road extraction from high resolution imagery based on statistical region merging and skeletonization. International Journal of Engineering Science and Technology, 2(3), 165–171.

3. Anil, P.N., & Natarajan, S. (2010b). A novel approach using active contour model for semi-automatic road extraction from high resolution imagery. In Second international conference on machine learning and computing.

4. Anil, P.N., & Natarajan, S. (2011). An approach for road extraction from high resolution imagery based on Radon-Like features and mathematical morphology. In International conference on image processing, computer vision and pattern recognition (IPCV’11).

5. Chiang, T.Y., Hsieh, Y.H., & Lau, W. (2001). Automatic road extraction from aerial images. Tech. rept., Stanford Education.

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