Journal of Geo-information Science, Volume. 22, Issue 10, 2010(2020)
Figures & Tables(16)
Fig. 3. Improved U-Net network low-dimensional information enhancement
Fig. 4. Full connection condition random field post-processing model
Table 1. VGG16 network structure configuration
View tableView in ArticleTable 1. VGG16 network structure configuration
感受野 步长 填充 输出大小 InputRGBimage：3@256×256 Conv+ReLU 3×3 1 1 64@256×256 Conv+ReLU 3×3 1 1 64@256×256 Max-pooling 64@128×128 Conv+ReLU 3×3 1 1 128@128×128 Conv+ReLU 3×3 1 1 128@128×128 Max-pooling 128@64×64 Conv+ReLU 3×3 1 1 256@64×64 Conv+ReLU 3×3 1 1 256@64×64 Conv+ReLU 3×3 1 1 256@64×64 Max-pooling 256@32×32 Conv+ReLU 3×3 1 1 512@32×32 Conv+ReLU 3×3 1 1 512@32×32 Conv+ReLU 3×3 1 1 512@32×32 Max-pooling 512@16×16 Conv+ReLU 3×3 1 1 512@16×16 Conv+ReLU 3×3 1 1 512@16×16 Conv+ReLU 3×3 1 1 512@16×16 Max-pooling 512@8×8
Table 2. RemotesensingimageinformationintheQingdaostudyarea
View tableView in ArticleTable 2. RemotesensingimageinformationintheQingdaostudyarea
影像编号 中心经度/°E 中心纬度/°N 成像时间 影像大小/像素×像素 L1A0003593712 120.5 36.7 2018-11-12 27 620×35 273 L1A0003593719 120.4 36.3 2018-11-12 27 620×35 113 L1A0003593868 120.6 36.3 2018-11-12 27 620×35 191
Table 3. Basic system platform configuration
View tableView in ArticleTable 3. Basic system platform configuration
项目 系统 CPU 内存 硬盘 显卡 内容 Ubuntu 16.04 Intel E5- 1630 8 GB 500 GB NVIDIA GTX970
Table 4. Important software configuration
View tableView in ArticleTable 4. Important software configuration
项目 GPU-Driver CUDA Python Keras Tensorflow-gpu 内容 384 8.0 3.6 2.2.4 1.4.0
Table 5. Comparison of water extraction results by different methods in 5 typical areas of the study area
View tableView in ArticleTable 5. Comparison of water extraction results by different methods in 5 typical areas of the study area
Table 6. Confusion matrix for accuracy evaluation
Table 7. Accuracy comparison of water extraction results
View tableView in ArticleTable 7. Accuracy comparison of water extraction results
方法 IoU/% 精准率/% Kappa系数 SegNet 77.6 82.5 0.79 经典U-net 82.3 90.4 0.88 改进后的U-Net网络 88.1 94.8 0.93
Table 8. Remote sensing image information in the application area
View tableView in ArticleTable 8. Remote sensing image information in the application area
影像编号 中心经度/°E 中心纬度/°N 成像时间 影像大小/像素×像素 L1A0003553729 120.1 36.3 2018-10-28 276 20×292 00 L1A0003351642 101.5 36.8 2018-07-26 276 20×292 00
Table 9. Comparison of water extraction results in 5 typical areas of the application area
View tableView in ArticleTable 9. Comparison of water extraction results in 5 typical areas of the application area
区域1 区域2 区域3 区域4 区域5 青岛 原始影像 
水体信息 
西宁 原始影像 
水体信息 
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Hongshu HE, Xiaoxia HUANG, Hongga LI, Lingjia NI, Xinge WANG, Chong CHEN, Ze LIU.
Paper Information
Received: Oct. 24, 2019
Accepted: --
Published Online: Apr. 23, 2021
The Author Email: HUANG Xiaoxia (huangxx@aircas.ac.cn)
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