Building Detection from Remote Sensing Images Based on Improved U-net

Xinlei Ren; Yangping Wang; Jingyu Yang; Decheng Gao

doi:10.3788/LOP56.222801

Laser & Optoelectronics Progress, Volume. 56, Issue 22, 222801(2019)

Building Detection from Remote Sensing Images Based on Improved U-net

Xinlei Ren^1、*, Yangping Wang^1,2,4, Jingyu Yang^1,3, and Decheng Gao⁴

Author Affiliations

¹School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China

²Experiment Teaching Center on Computer Science, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China

³Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphics & Image Processing, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China;

⁴Gansu Provincial Key Laboratory of System Dynamics and Reliability of Rail Transport Equipment, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China

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Figures & Tables(8)

Fig. 1. Architecture of improved U-net network with enhanced low-dimensional features

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Fig. 1. Architecture of fully convolutional neural networks

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Fig. 2. Architecture of U-net network

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Fig. 4. Flow chart of building detection using proposed method

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Fig. 5. Image of building detection area

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Fig. 6. Results of building detection using different methods

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Fig. 7. Local results of building detection using different methods

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Table 1. Quantitative evaluation results of building detection for different methods%

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Table 1. Quantitative evaluation results of building detection for different methods%

Test area	IoU				PA				Kappa
Test area	FCM	FCN	U-net	ImprovedU-net	FCM	FCN	U-net	ImprovedU-net	FCM	FCN	U-net	ImprovedU-net
1	66.4	67.8	68.8	73.8	83.6	90.7	85.6	92.4	70.3	64.2	73.3	80.0
2	69.3	84.8	87.5	91.6	83.0	89.1	92.9	94.4	72.2	79.9	87.3	88.8
3	73.5	78.5	88.0	90.1	88.4	94.2	94.2	97.3	76.3	73.0	84.5	84.7
4	70.6	79.9	77.2	80.1	95.2	81.7	85.9	87.2	75.0	84.0	78.1	80.8
Mean	69.9	77.7	80.4	83.9	87.5	88.9	89.6	92.8	73.5	75.3	80.8	83.6

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Xinlei Ren, Yangping Wang, Jingyu Yang, Decheng Gao. Building Detection from Remote Sensing Images Based on Improved U-net[J]. Laser & Optoelectronics Progress, 2019, 56(22): 222801

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Paper Information

Category: Remote Sensing and Sensors

Received: Apr. 8, 2019

Accepted: May. 13, 2019

Published Online: Nov. 2, 2019

The Author Email: Ren Xinlei (121931236@qq.com)

DOI:10.3788/LOP56.222801

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology