Observation of Ice Gradient in Cheonji, Baekdu Mountain Using Modified U-Net from Landsat -5/-7/-8 Images |
Lee, Eu-Ru
(Department of Geoinformatics, University of Seoul)
Lee, Ha-Seong (Earthquake and Volcano Research Division, Korea Meteorological Administration) Park, Sun-Cheon (Earthquake and Volcano Research Division, Korea Meteorological Administration) Jung, Hyung-Sup (Department of Geoinformatics, University of Seoul) |
1 | Chavez, P.S., 1996. Image-based atmospheric corrections revisited and improved, American Society for Photogrammetry and Remote Sensing, 62: 1025-1036. |
2 | Horn, S. and H.U. Schmincke, 2000. Volatile emission during the eruption of Baitoushan volcano (China/North Korea) ca. 969 AD, Bulletin of Volcanology, 61: 537-555. https://doi.org/10.1007/s004450050004 DOI |
3 | KMA (Korea Meteorological Administration), 2021. Development of Monitoring Technology through Analysis of Changes in Surface Temperature before and after Volcanic eruption, Korea Meteorological Administration, Seoul, Korea, 54pp (in Korean). |
4 | Schmidt, J., M.R. Marques, S. Botti, and M.A. Marques, 2019. Recent advances and applications of machine learning in solid-state materials science, npj Computational Materials, 5(1): 1-36. https://doi.org/10.1038/s41524-019-0221-0 DOI |
5 | Wei, H.Q., G.M. Liu, and J. Gill, 2013. Review of eruptive activity at Tianchi volcano, Changbaishan, northeast China: implications for possible future eruptions, Bulletin of Volcanology, 75(4): 1-14. https://doi.org/10.1007/s00445-013-0706-5 DOI |
6 | Yu, Z., T. Li, G. Luo, H. Fujita, N. Yu, and Y. Pan, 2018. Convolutional networks with cross-layer neurons for image recognition, Information Sciences, 433: 241-254. https://doi.org/10.1016/j.ins.2017.12.045 DOI |
7 | Yun, S.H., 2013. Conceptual Design for the Dispersal and Deposition Modelling of Fallout Ash from Mt. Baekdu Volcano, The Petrological Society of Korea, 22(4): 273-289. https://doi.org/10.7854/JPSK.2013.22.4.273 DOI |
8 | Guangming, W.U., C.H.E.N. Qi, R. Shibasaki, G.U.O. Zhiling, S.H.A.O. Xiaowei, and X.U. Yongwei, 2018. High precision building detection from aerial imagery using a U-Net like convolutional architecture, Acta Geodaetica et Cartographica Sinica, 47(6): 864. https://doi.org/10.11947/j.AGCS.2018.20170651 DOI |
9 | D'Allestro, P. and C. Parente, 2015. GIS application for NDVI calculation using Landsat 8 OLI images, International Journal of Applied Engineering Research, 10(21): 42099-42102. |
10 | Egghe, L. and L. Leydesdorff, 2009. The relation between Pearson's correlation coefficient and Salton's cosine measure, Journal of the American Society for information Science and Technology, 60(5): 1027-1036. https://doi.org/10.1002/asi.21009 DOI |
11 | Han, Y., Y. Gao, Y. Zhang, J. Wang, and S. Yang, 2019. Hyperspectral sea ice image classification based on the spectral-spatial-joint feature with deep learning, Remote Sensing, 11(18): 2170. https://doi.org/10.3390/rs11182170 DOI |
12 | Simonyan, K. and A. Zisserman, 2014. Very deep convolutional networks for large-scale image recognition, arXiv preprint arXiv:1409.1556. https://doi.org/10.48550/arXiv.1409.1556 DOI |
13 | Hou, B., Q. Liu, H. Wang, and Y. Wang, 2019. From W-Net to CDGAN: Bitemporal change detection via deep learning techniques, IEEE Transactions on Geoscience and Remote Sensing, 58(3): 1790-1802. https://doi.org/10.1109/TGRS.2019.2948659 DOI |
14 | Park, S.H., M.J. Lee, and H.S. Jung, 2012. Analysis on the Snow Cover Variations at Mt. Kilimanjaro Using Landsat Satellite Images, Korean Journal of Remote Sensing, 28(4): 409-420 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2012.28.4.5 DOI |
15 | Perez, L. and J. Wang, 2017. The effectiveness of data augmentation in image classification using deep learning, arXiv preprint arXiv:1712.04621. https://doi.org/10.48550/arXiv.1712.04621 DOI |
16 | Suh, J., H. Yi, S.M. Kim, and H.D. Park, 2013. Prediction of the Area Inundated by Lake Effluent According to Hypothetical Collapse Scenaros of Cheonji Ground at Mt. Baekdu, The Journal of Engineering Geology, 23(4): 409-425 (in Korean with English abstract). https://doi.org/10.9720/kseg.2013.4.409 DOI |
17 | Xu, J., G. Liu, J. Wu, Y. Ming, Q. Wang, D. Cui, and J. Liu, 2012. Recent unrest of Changbaishan volcano, northeast China: A precursor of a future eruption?, Geophysical Research Letters, 39(16). https://doi.org/10.1029/2012GL052600 DOI |
18 | Yao, W., Z. Zeng, C. Lian, and H. Tang, 2018. Pixel-wise regression using U-Net and its application on pansharpening, Neurocomputing, 312: 364-371. https://doi.org/10.1016/j.neucom.2018.05.103 DOI |
19 | Yun, S.M. and C.H. Oh, 2014. Invited Editor's Note: Impact of Probable Volcanic Eruption of Mt. Baekdusan to Han Peninsula and the Corresponding Actions, International Area Studies, 18(3): 7-10 (in Korean with English abstract). https://doi.org/10.18327/jias.2014.09.18.3.7 DOI |
20 | Yun, S.H. and J.H. Lee, 2012. Analysis of Unrest Signs of Activity at the Baegdusan Volcano, The Journal of the Petrological Society of Korea, 21(1): 1-12 (in Korean with English abstract). https://doi.org/10.7854/JPSK.2012.21.1.001 DOI |
21 | KMA (Korea Meteorological Administration), 2017. A Study on the Trend Analysis of Surface Temperature Change and System Construction for Monitoring the Distance of Volcanic Activity (III), Korea Meteorological Administration, Seoul, Korea, pp. 78-80 (in Korean). |
22 | Han, H. and C.K. Lee, 2018. Analysis of ice velocity variations of Nansen ice shelf, East Antarctica, from 2000 to 2017 using Landsat multispectral image matching, Korean Journal of Remote Sensing, 34(6-2): 1165-1178. http://dx.doi.org/10.7780/kjrs.2018.34.6.2.2 DOI |
23 | Chai, T. and R.R. Draxler, 2014. Root mean square error (RMSE) or mean absolute error (MAE)-Arguments against avoiding RMSE in the literature, Geoscientific Model Development, 7(3): 1247-1250. https://doi.org/ 10.5194/gmd-7-1247-2014 DOI |
24 | Baek, W.K., 2022. Phase Unwrapping Using Modified U-Net Regression Model: Focusing on Network Structure and Training Data Optimization, University of Seoul, Seoul, Korea (in Korean with English abstract). |