Mountainous village relocation planning with 3D GIS virtual imaging space model and neural network

References

• Bai, Y. X., and Q. Ning. 2018. “Study on Mechanism System of Relocation of Poverty Alleviation[J].” Journal of Northwest University (Philosophy and Social Sciences Edition) 48 (4): 62–74.
   Google Scholar
• Campiani, A., A. Lingle, and N. Lercari. 2019. “Spatial Analysis and Heritage Conservation: Leveraging 3-D Data and GIS for Monitoring Earthen Architecture[J].” Journal of Cultural Heritage 39: 166–176. doi:10.1016/j.culher.2019.02.011.
   Web of Science ®Google Scholar
• Dang, T. Y., W.M. Zhuang, and Q. Chang. 2020. “A New Method for Rural Architecture Design: Analysis of UAV Oblique Photography Acquiring True 3D Model Technology[J].” Huazhong Architecture 38 (2): 32–37.
   Google Scholar
• Ding, Y. Y. 2021. “Study on High Precision Naked-eye 3D Mapping Method Based on Oblique Image of Consumer Unmanned Aerial Vehicle[J].” ShangDong Land and Resources 37 (8): 57–61.
   Google Scholar
• Du, G. M., M.Q. Zhang, and L. Chen. 2021. “Study on the Promotion of Poverty Villages Regional Development by Relocation of Poverty Alleviation - Taking Lujia Village, Tongyu County, Jilin Province as an example[J].” Chinese Journal of Agricultural Resources and Regional Planning 42 (9): 90–98.
   Google Scholar
• Feng, W. 2019. “Application of Unmanned Aerial Vehicle Survey Technology in Alpine and High Altitude Complex and Difficult Mountainous area[J].” Journal of Railway Engineering Society 36 (8): 9–13.
   Google Scholar
• Gao, J., Y. Chen, Y. Wei, and J. Li. 2021. “Detection of Specific Building in Remote Sensing Images Using a Novel YOLO-S-CIOU Model. Case: Gas Station Identification[J].” Sensors 21 (4): 1375. doi:10.3390/s21041375.
   PubMed Web of Science ®Google Scholar
• Guo, Z., Q. Chen, G. Wu, Y. Xu, R. Shibasaki, and X. Shao. 2017. “Village Building Identification Based on Ensemble Convolutional Neural Networks[J]”. Sensors 17: 2487. doi:10.3390/s17112487.
   PubMed Web of Science ®Google Scholar
• He, D. G., and G.Y. Dang. 2015. “Study on Implementation Deviation of the Poverty Alleviation and Relocation Policy in the Western Mountainous Areas: Based on the Field Survey in Southern Shanxi[J].” Journal of National School of Administration, no. 5: 119–123.
   Google Scholar
• He, C., Z. H. Dong, Y. Wang, J. Li, K. P. Li, and S. L. Hou. 2020. “Forest Resource Data Obtained by UAV Stereo Photography[J]”. Bulletin of Surveying and Mapping (6): 28–31.
   Google Scholar
• He, K. M., G. Gkioxari, and P. Dollar. 2017. “Mask R-CNN[C].” International Conference on Computer Vision, Venice, Italy, 2980–2988.
   Google Scholar
• He, K.M., X. Y. Zhang, S. Q. Ren, and J. Sun. 2016.“Deep Residual Learning for Image Recognition[C]// 2016.” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, 770–778.
   Google Scholar
• Hu, Z. H., and L. Chen. 2021. “Research on the Governance of Rural Hollowing Out Problem under the Perspective of Trilateral Game in Wenzhou City, Zhejiang Province[J].” Research on Development, no. 1: 84–90.
   Google Scholar
• King, D., D. Bird, K. Haynes, H. Boon, A. Cottrell J. Millar, T. Okada P. Box, D. Keogh, and M. Thomas. 2014. “Voluntary Relocation as an Adaptation Strategy to Extreme Weather Events[J]”. International Journal of Disaster Risk Reduction 8: 83–90. doi:10.1016/j.ijdrr.2014.02.006.
   Web of Science ®Google Scholar
• Lee, S. H., S. H. Woo, J. R. Ryu, and S. Y. Choo. 2019. “Automated Building Occupancy Authorization Using BIM and UAV Based Spatial Information.” Photogrammetric Reverse Engineering[J]. Journal of Asian Architecture and Building Engineering 18 (2): 151–158. doi:10.1080/13467581.2019.1631172.
   Google Scholar
• Liu, M. 2016. “Application of Inclined Photogrammetry Technology in 3D Cadastral and Real Estate Investigation in the Countryside of Fujian[J].” Journal of Shenyang Jianzhu University Social Science 18 (4): 359–363.
   Google Scholar
• Liu, W. G. 2016. “Application of Multi-scale 3D Remote Sensing Technology for Geological Investigation in Railway[J].” Journal of Railway Engineering Society 33 (8): 40–43,99.
   Google Scholar
• Liu, J., and D. Bai. 2018. “3D Point Cloud Registration Algorithm Based on Feature Matching[J].” Acta Optica Sinica 38 (12): 232–239.
   Google Scholar
• Liu, X. W., H. K. Yang, and W. J. Yun. 2018. “Patterns of Land Consolidation Promoting Poverty Alleviation in Poor Areas and Its Application[J].” Transactions of the Chinese Society of Agricultural Engineering 34 (5): 242–247.
   Google Scholar
• Loffe, S., and C. Szegedy. 2015. “Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift[C]//.” Proceedings of International Conference on Machine Learning, Lille. 448–456.
   Google Scholar
• Mao, J., L. Yu, H. Yu, and W. Sheng. 2020. “A Transfer Learning Method with Multi-feature Calibration for Building Identification[C] 2020.” International Joint Conference on Neural Networks (IJCNN) Glasgow, United Kingdom.
   Google Scholar
• Peng, Z., Y. J. Lv, C. Qu, and D. H. Zhu. 2020. “Accurate Registration of 3D Point Clouds Based on Keypoint Extraction and Improved Iterative Closest Point Algorithm[J].” Laser & Optoelectronics Progress 57 (6): 60–71.
   Google Scholar
• Sánchez-Aparicio, L. J., M. G. Masciotta, J. G. Alvarez, L. F. Ramos, D. V. Oliveira, J. A. Martín-Jiménez, and D. González-Aguilera. 2020. “Web-GIS Approach to Preventive Conservation of Heritage buildings[J]”. Automation in Construction 118: 103304. doi:10.1016/j.autcon.2020.103304.
   Web of Science ®Google Scholar
• Sun, T. W., Z. Xu, J. Y. Yuan, C. Liu, and A. Ren. 2017. “Virtual Experiencing and Pricing of Room Views Based on BIM and Oblique Photogrammetry[J]”. Procedia Engineering 196: 1122–1129. doi:10.1016/j.proeng.2017.08.071.
   Google Scholar
• Szegedy, C., W. Liu, Y. Q.,Jia, P. Sermanet, R. E. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. 2015. “Going Deeper with Convolutions[C].” Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Boston, 1–8.
   Google Scholar
• Tang, X. M., Y. C. Pan, Y. Liu, N. Guan, and N. Wei. 2016. “The Investment and Implementation Model and Path Analysis of Cultivated Land Consolidation in China[J].” China Land Science 30 (8): 56–62.
   Google Scholar
• Tremblay-Gosselin, J., and A. M. Cretu. 2014. “A Supervised Training and Learning Method for Building Identification in Remotely Sensed Imaging[C].” IEEE International Symposium on Robotic & Sensors Environments, IEEE.
   Google Scholar
• Vetrivel, A., M. Gerke, N. Kerle, and G. Vosselman. 2015. “Identification of Damage in Buildings Based on Gaps in 3D Point Clouds from Very High Resolution Oblique Airborne Images[J]”. ISPRS Journal of Photogrammetry and Remote Sensing 105: 61–78. doi:10.1016/j.isprsjprs.2015.03.016.
   Web of Science ®Google Scholar
• Wang, B. G., and R. K. Zhang. 2018. “Application of Unmanned Aerial Vehicle Tilt Photogrammetry in Planning Schemes Comparison and Selection[J].” Bulletin of Surveying and Mapping, no. 1: 143–146.
   Google Scholar
• Xiong, C., Q. Li, and X. Lu. 2020. “Automated Regional Seismic Damage Assessment of Buildings Using an Unmanned Aerial Vehicle and a Convolutional Neural Network[J].” Automation in Construction 109 (1): 102994.1–102994.14. doi:10.1016/j.autcon.2019.102994.
   Google Scholar
• Yu, Z. D., H. Li, F. Ba, and Z. Y. Wang. 2018. “3D City Model Construction Based on a Consumer-Grade UAV[J].” Remote Sensing for Land & Resources 30 (2): 67–72.
   Google Scholar
• Zhang, S. R., D. J. Hou, C. Wang F. Pan and Y. Lei. 2020. “Integrating and Managing BIM in 3D Web-based GIS for Hydraulic and Hydropower Engineering Projects[J]”. Automation in Construction 112: 103114. doi:10.1016/j.autcon.2020.103114.
   Web of Science ®Google Scholar
• Zhang, Y., G. F. Zhai, and K. Zong. 2021. “Exploration on the Industrial Planning of Relocated Villages in the Post-poverty Period: A Case Study of Zhongxing Village, Jinhu County, Jiangsu Province[J].” Development of Small Cities & Towns 39 (3): 32–40.
   Google Scholar
• Zhou, S. Y., X. B. Li, and Y. H. Dong. 2020. “A Decoupling and Bidirectional Resampling Method for Multilabel Classification of Imbalanced Data with Label Concurrence[J].” Scientific Programming 2020: 1–10.
   Web of Science ®Google Scholar