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NTIS 바로가기Ecology and resilient infrastructure, v.9 no.4, 2022년, pp.218 - 227
강우철 (한국건설기술연구원 수자원하천연구본부) , 장은경 (한국건설기술연구원 수자원하천연구본부)
This study attempted classification through deep learning-based image training for land cover classification in river spaces which is one of the important data for efficient river management. For this purpose, land cover classification analysis with the RGB image of the target section based on the c...
Jo, W., Lim, Y., and Park, K. 2019. Deep learning based?Land Cover Classification Using Convolutional Neural?Network: a case study of Korea. Journal of the Korean?Geographical Society 54(1): 1-16. (in Korean)
Kang, W., Choe, H., Jang, E., Ko, D., Kang, J., and Yeo,?H. 2021a. Determination of Stream Reach for River?Environment Assessment System Using Satellite Image.?Ecology and Resilient Infrastructure 8(4): 179-193. (in?Korean)
Kang, W., Jang, E.K., Yang, C.Y., and Julien, P.Y. 2021b.?Geospatial analysis and model development for specific?degradation in South Korea using model tree data?mining. Catena, 200, 105142.
Kang, W., Lee, K., and Jang, E.K. 2022a. Evaluation and?Validation of Estimated Sediment Yield and Transport?Model Developed with Model Tree Technique. Applied?Sciences 12(3), 1119.
Kang, W., Lee, K., and Kim, J. 2022b. Prediction of?Suspended Sediment Concentration Based on the Turbidity-Concentration Relationship Determined via Underwater Image Analysis. Applied Sciences 12(12), 6125.
Kang, W., Yang, C.Y., Lee, J., and Julien, P.Y. 2019.?Sediment yield for ungauged watersheds in South?Korea. KSCE Journal of Civil Engineering 23(12):?5109-5120.
Kim, H. and Yeom, J. 2012. A Study on Object-Based?Image Analysis Methods for Land Cover Classification?in Agricultural Areas. The Korean Association of Geographic Information Studies 15(4): 26-41. (in Korean)
Lee, G. and Choi, Y. 2014. Land Cover Classification of?Nakdong River Basin using Object-Based Image Analysis?Methods. Journal of The Korean Cadastre Information?Association 16(3): 3-18. (in Korean)
Lee, H., Ru, J., and Yu, Y. 2010. Extracting High Quality?Thematic Information by Using High-Resoultion Satellite?Imagery. Journal of Korean Society for Geospatial Information Science 18(1): 73-81. (in Korean)
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