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NTIS 바로가기한국측량학회지 = Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, v.40 no.3, 2022년, pp.239 - 247
오행열 (Dept. of Civil Engineering, Chosun University) , 전승배 (Dept. of Civil Engineering, Chosun University) , 김건 (Dept. of Civil Engineering, Chosun University) , 정명훈 (Dept. of Civil Engineering, Chosun University)
Cities are becoming more complex due to rapid industrialization and population growth in modern times. In particular, urban areas are rapidly changing due to housing site development, reconstruction, and demolition. Thus accurate road information is necessary for various purposes, such as High Defin...
Abdollahi, A., Pradhan, B., Shukla, N., Chakraborty, S., and Alamri, A., (2020), Deep learning approaches applied to remote sensing datasets for road extraction: A state-of-the-art review, Remote Sensing, Vol. 12, No. 9, pp. 1444-1465. https://doi.org/10.3390/rs12091444
Alshehhi, R., Marpu, P. R., Woon, W. L., And Dalla Mura, M. (2017), Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 130, No. 2017, pp. 139-149. https://doi.org/10.1016/j.isprsjprs.2017.05.002
Awad, M. M., (2013), A morphological model for extracting road networks from high-resolution satellite images, Journal of Engineering, Vol. 2013, pp. 243021 1-9. https://doi.org/10.1155/2013/243021
Demir, I., Koperski, K., Lindenbaum, D., Pang, G., Huang, J., Basu, S., Hughes, F., Tuia, D., and Raskar, R., (2018), Deepglobe 2018: A challenge to parse the earth through satellite images, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops-2018, 18-22 June, Salt Lake City, UT, USA, pp. 172-181. https://doi.org/10.1109/CVPRW.2018.00031
Kim, J.Y., Huh, Y, Yu, K.Y., and Kim, J.O., (2013), Automatic Change Detection Based on Areal Feature Matching in Different Network Data-sets, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 31, No. 6,pp. 483-491. https://doi.org/10.7848/ksgpc.2013.31.6-1.483
Liu, W. and Wang, H., (2008), An interactive image segmentation method based on graph theory, J. Electron. Inf. Technol, Vol. 8, No. 30, pp. 1973-1976.
Ma, R., Wang, W., and Liu, S., (2012), Extracting roads based on Retinex and improved Canny operator with shape criteria in vague and unevenly illuminated aerial images, Journal of applied remote sensing, Vol. 6, No. 1, pp. 063610 1-14. (in Korean with English abstract) https://doi.org/10.1117/1.JRS.6.063610
Mena, J. B. and Malpica, J. A., (2005), An automatic method for road extraction in rural and semi-urban areas starting from high resolution satellite imagery, Pattern recognition letters, Vol. 26, No. 9, pp. 1201-1220. https://doi.org/10.1016/j.patrec.2004.11.005
Miao, Z., Wang, B., Shi, W., and Zhang, H., (2014), A semiautomatic method for road centerline extraction from VHR images, IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 11, pp. 1856-1860.
Mnih, V. and Hinton, G. E., (2010), Learning to detect roads in high-resolution aerial images, European conference on computer vision-2010, 5-11 September, Heraklion, Crete, Greece, pp. 210-223. https://doi.org/10.1007/978-3-642-15567-3_16
Panboonyuen, T., Vateekul, P., Jitkajornwanich, K. and Lawawirojwong, S., (2017), An enhanced deep convolutional encoder-decoder network for road segmentation on aerial imagery, International conference on computing and information technology-2017, 27-29 December, Singapore, Singapore, pp. 191-201. https://doi.org/10.1007/978-3-319-60663-7_18
Park, Y.K., Kang, W.P., Choi, J.E., and Kim, B.J., (2019), A study on the Evaluation of Real-Time Map Update Technology for Automated Driving, Journal of the Korean Association of Geographic Information Studies, Vol. 22, No. 3, pp. 146-154. (in Korean with English abstract) https://doi.org/10.11108/kagis.2019.22.3.146
Shi, W., Miao, Z., and Debayle, J., (2013), An integrated method for urban main-road centerline extraction from optical remotely sensed imagery, IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 6, pp. 3359-3372. https://doi.org/10.1109/TGRS.2013.2272593
Tao, W. B. and Jin, H., (2007), A novel method of image threshold segmentation based on graph theory, Chinese Journal of Computer, Vol. 1, pp. 110-119.
Unsalan, C. and Sirmacek, B., (2012), Road network detection using probabilistic and graph theoretical methods, IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 11, pp. 4441-4453. https://doi.org/10.1109/TGRS.2012.2190078
Wang, J., Qin, Q., Yang, X., Wang, J., Ye, X., and Qin, X., (2014), Automated road extraction from multi-resolution images using spectral information and texture, IEEE Geoscience and Remote Sensing Symposium-2014, 13-18 July, Quebec City, QC, Canada, pp. 533-536. https://doi.org/10.1109/IGARSS.2014.6946477
Wang, J., Song, J., Chen, M., and Yang, Z., (2015), Road network extraction: A neural-dynamic framework based on deep learning and a finite state machine, International Journal of Remote Sensing, 36, 3144-3169. https://doi.org/10.1080/01431161.2015.1054049
Wang, Y., Seo, J., and Jeon, T., (2021), NL-LinkNet: Toward lighter but more accurate road extraction with nonlocal operations, IEEE Geoscience and Remote Sensing Letters, Vol. 19, pp. 1-5. https://doi.org/10.1109/LGRS.2021.3050477
Wei, Y., Wang, Z., and Xu, M., (2017), Road structure refined CNN for road extraction in aerial image, IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 5, pp. 709-713. https://doi.org/10.1109/LGRS.2017.2672734
Yun, B.Y., Moon, D.Y., and Hong, S.H., (2006), A Study on Updating of Digital Map using Beacon GPS, Journal of the Korean Geophysical Society, Vol. 9, No. 4, pp. 387-395. (in Korean with English abstract)
Zhou, L., Zhang, C., and Wu, M., (2018), D-LinkNet: LinkNet with pretrained encoder and dilated convolution for high resolution satellite imagery road extraction, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops-2018, 18-22 June, Salt Lake City, UT, USA, pp. 182-186. https://doi.org/10.1109/CVPRW.2018.00034
Zhu, C., Shi, W., Pesaresi, M., Liu, L., Chen, X., and King, B., (2005), The recognition of road network from high-resolution satellite remotely sensed data using image morphological characteristics, International Journal of Remote Sensing, Vol. 26, No. 24, pp. 5493-5508. https://doi.org/10.1080/01431160500300354
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