An Improved Fuzzy Connectedness Method to Recognize Automatically the Road Network Information from Remote Sensing Image
ZHENG Jin① LIU Su① SUN Wei②
①(College of Architecture, Hunan University, Changsha 410082, China) ②(College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)
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.
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ZHENG Jin, LIU Su, SUN Wei. An Improved Fuzzy Connectedness Method to Recognize Automatically the Road Network Information from Remote Sensing Image. JEIT, 2016, 38(2): 413-417.
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