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Journals >
Laser & Optoelectronics Progress >
Volume 58 >
Issue 2 >
Page 0228001 > Article
Laser & Optoelectronics Progress
Vol. 58, Issue 2, 0228001 (2021)
Road Extraction from GF-1 Remote Sensing Images Based on Dilated Convolution Residual Network with Multi-Scale Feature Fusion
Tianhao Ma
1、2
, Hai Tan
2、*
, Tianqi Li
1、2
, Yanan Wu
1、2
, and Qi Liu
2
Author Affiliations
1
School of Geomatics, Liaoning Technical University, Fuxin, Liaoning 123000, China
2
Land and Resources Remote Sensing Application Center of the Ministry of Natural Resources, Beijing 100048, China
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DOI:
10.3788/LOP202158.0228001
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Tianhao Ma, Hai Tan, Tianqi Li, Yanan Wu, Qi Liu. Road Extraction from GF-1 Remote Sensing Images Based on Dilated Convolution Residual Network with Multi-Scale Feature Fusion[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0228001
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Tianhao Ma, Hai Tan, Tianqi Li, Yanan Wu, Qi Liu. Road Extraction from GF-1 Remote Sensing Images Based on Dilated Convolution Residual Network with Multi-Scale Feature Fusion[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0228001
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Paper Information
Category: Remote Sensing and Sensors
Received: Jun. 8, 2020
Accepted: Jul. 24, 2020
Published Online: Jan. 8, 2021
The Author Email: Tan Hai (896963286@qq.com)
DOI:
10.3788/LOP202158.0228001
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