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NTIS 바로가기대한원격탐사학회지 = Korean journal of remote sensing, v.38 no.6 pt.4, 2022년, pp.1889 - 1900
채한성 (경희대학교 지리학과) , 임희수 (경희대학교 지리학과) , 이재관 (경희대학교 산학협력단) , 최진무 (경희대학교 지리학과)
Roads are an essential factor in the physical functioning of modern society. The spatial information of the road has much longer update cycle than the traffic situation information, and it is necessary to generate the information faster and more accurately than now. In this study, as a way to achiev...
Abdollahi, A., B. Pradhan, G. Sharma, K.N.A. Maulud, and A. Alamri, 2021. Improving Road Semantic Segmentation Using Generative Adversarial Network, IEEE Access, 9: 64381-64392. https://doi.org/10.1109/ACCESS.2021.3075951
Balraj, A., 2020. UNet (ResNet50 frontend) Road Segmentation PyTorch, https://www.kaggle.com/code/balraj98/unet-resnet50-frontend-roadsegmentation-pytorch, Accessed on Nov. 10, 2022.
ESA (European Space Agency), 2022a. KOMPSAT-3, https://www.eoportal.org/satellite-missions/kompsat3#eos-electro-optical-subsystem, Accessed on Nov. 10, 2022.
ESA (European Space Agency), 2022b. KOMPSAT-3A, https://www.eoportal.org/satellite-missions/kompsat3a#eop-quick-facts-section, Accessed on Nov. 10, 2022.
Kim, H.S. and K.H. Choi, 2022. A Framework of 3D Road Extraction and Update Using Drone Images, Journal of the Korea Academia-Industrial, 23(5): 572-579 (in Korean with English abstract). https://doi.org/10.5762/KAIS.2022.23.5.572
Lee, D.H., J.H. Kim, and H.M. Choi, 2007. Histogram-based road border line extractor for road extraction from satellite imagery, Journal of the Institute of Electronics Engineers of Korea SP, 44(5): 27-34 (in Korean with English abstract).
Lee, H.J., K.J. Park, and C. Park, 2009. Analysis of Application and Economical Efficiency on Next Generation Digital Maps on Demand Updating System, Journal of the Korean Society for Geospatial Information Science, 17(2): 133-143 (in Korean with English abstract).
Lee, J.K., K.J. Lee, and S.H. Ju, 2008. Development of Digital Map On-demand Updating System, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 26(5): 537-546 (in Korean with English abstract).
Maxwell, A.E., T.A. Warner, and L.A. Guillen, 2021. Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies-Part 2: Recommendations and Best Practices, Remote Sensing, 13(13): 2591. https://doi.org/10.3390/rs13132591
Ministry of Government Legislation, 2021. Road Act, https://elaw.klri.re.kr/kor_service/lawView.do?hseq49884&langENG, Accessed on Nov. 10, 2022.
Mnih, V., 2013. Machine Learning for Aerial Image Labeling, University of Toronto, Toronto, ON, Canada.
Oh, H.Y., S.B. Jeon, G. Kim, and M.H. Jeong, 2022. Road Extraction from Images Using Semantic Segmentation Algorithm, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 40(3): 237-247 (in Korean with English abstract). https://doi.org/10.7848/ksgpc.2022.40.3.239
Park, S.J., J.H. Han, and S.M. Young, 2020. Efficient Deep Neural Network Architecture based on Semantic Segmentation for Paved Road Detection, Journal of the Korea Institute of Information and Communication Engineering, 24(11): 1437-1444 (in Korean with English abstract). https://doi.org/10.6109/jkiice.2020.24.11.1437
Tan, J.H., M. Gao, K. Yang, and T. Duan, 2021. Remote Sensing Road Extraction by Road Segmentation Network, Applied Science, 11(11): 5050. https://doi.org/10.3390/app11115050
Wang, G., C. Ma, and X. Liang, 2022. Application of Road Extraction from High-Resolution Remote Sensing Images in Tourism Navigation and GIS, Wireless Communications and Mobile Computing, 2022: 1-8. https://doi.org/10.1155/2022/2422030
Zhang, Z.X., Q.J. Liu, and Y.H. Wang, 2018. Road Extraction by Deep Residual U-Net, IEEE Geoscience and Remote Sensing Letters, 15(5): 749-753. https://doi.org/10.1109/LGRS.2018.2802944
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