An Improved Fuzzy Connectedness Method to Recognize Automatically the Road Network Information from Remote Sensing Image

ZHENG Jin; LIU Su; SUN Wei

doi:10.11999/JEIT150563

Volume 38 Issue 2

Feb. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(2): 413-417

ZHENG Jin, LIU Su, SUN Wei. An Improved Fuzzy Connectedness Method to Recognize Automatically the Road Network Information from Remote Sensing Image[J]. Journal of Electronics & Information Technology, 2016, 38(2): 413-417. doi: 10.11999/JEIT150563

Citation:

ZHENG Jin, LIU Su, SUN Wei. An Improved Fuzzy Connectedness Method to Recognize Automatically the Road Network Information from Remote Sensing Image[J]. Journal of Electronics & Information Technology, 2016, 38(2): 413-417. doi: 10.11999/JEIT150563

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An Improved Fuzzy Connectedness Method to Recognize Automatically the Road Network Information from Remote Sensing Image

doi: 10.11999/JEIT150563

1.
(College of Architecture, Hunan University, Changsha 410082, China)
2.
(College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

Received Date: 2015-05-12
Rev Recd Date: 2015-10-19
Publish Date: 2016-02-19

Abstract

Abstract

To recognize automatically road network from remote sensing image, an improved fuzzy connectedness method is proposed by combining traditional fuzzy connectedness theory with wavelet modulus maximum algorithm. The wavelet modulus maximum image edge detection algorithm is used to solve the problem of selecting seed points automatically in traditional fuzzy connectedness theory. On this basis, traditional fuzzy similarity computational formula is simplified. This can reduce the cost of calculation greatly without reducing the recognition accuracy. Three high-resolution remote sensing images from the satellite Quickbird are processed in the experiments to prove the effectiveness of the proposed method. The results show that the proposed road network recognition method has high accuracy and rapid computation speed.
- Remote sensing image,
- Road network information recognition,
- Fuzzy connectedness,
- Wavelet modulus maximum,
- Image edge detection

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References(25)

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