Road Extraction Method of High-Resolution Remote Sensing Images Based on Dense Blocks and Improved LinkNet

Zengyou WANG; Xianhua ZHANG; Rong LIU; Zhigao CHEN; Wanghuang ZHU

doi:10.3969/j.issn.1009-8518.2024.03.011

Spacecraft Recovery & Remote Sensing, Volume. 45, Issue 3, 107(2024)

Road Extraction Method of High-Resolution Remote Sensing Images Based on Dense Blocks and Improved LinkNet

Zengyou WANG^1,3, Xianhua ZHANG³, Rong LIU^1,2、*, Zhigao CHEN^1,2, and Wanghuang ZHU^1,2

¹School of Surveying, Mapping and Spatial Information Engineering, East China University of Technology, Nanchang 330013, China

²Key Laboratory of Mine Environmental Monitoring and Treatment in Poyang Lake Region, Ministry of Natural Resources, East China University of Technology, Nanchang 330013, China

³Jiangxi College of Applied Technology, Ganzhou 341000, China

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Table 1. Comparison of evaluation metrics for ablation experiment %

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Table 1. Comparison of evaluation metrics for ablation experiment %

算法名称	精确率	平均交并比	F1-score	贡献率
原始LinkNet	78.69	80.17	77.82
Dense Block改造后LinkNet	80.47	81.94	79.61	1.77
Dense Block改造后LinkNe+CMAM	81.45	82.83	80.44	0.89
Dense Block改造后LinkNe+ASPP	81.21	82.46	80.07	0.52
Dense Block改造后LinkNe+CMAM+ASPP	82.16	83.21	81.66	1.27

Table 2. Different model extraction evaluation results %
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Table 2. Different model extraction evaluation results %
网络模型精确率平均交并比 F1-score
U-Net 77.25 78.82 76.53
LinkNet 78.69 80.17 77.82
RoadNet 81.14 82.05 80.33
SegNet 78.72 80.49 78.16
D-LinkNet 80.13 81.74 79.87
本文网络 82.16 83.21 81.66

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Zengyou WANG, Xianhua ZHANG, Rong LIU, Zhigao CHEN, Wanghuang ZHU. Road Extraction Method of High-Resolution Remote Sensing Images Based on Dense Blocks and Improved LinkNet[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(3): 107

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