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Blaschke, T., G.J. Hay, M. Kelly, S. Lang, P. Hofmann, E. Addink, R. Queiroz Feitosa, F. van der Meer, H. van der Werff, F. van Coillie, and D. Tiede, 2014. Geographic object-based image analysistowards a new paradigm, ISPRS Journal of Photogrammetry and Remote Sensing, 87: 180-191.
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Lee, D.G., J.H. You, and H.J. Lee, 2018. Comparison of geospatial feature extraction process on object based classification method using KOMPSAT-3A satellite image, Journal of the Korean Society for Geospatial Information Science, 26(3): 13-21 (in Korean with English abstract).
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Magpantay, A.T., R.T. Adao, J.L. Bombasi, A.C. Lagman, E.V. Malasaga, and C.S. Ye, 2019. Analysis on the effect of spectral index images on improvement of classification accuracy of Landsat-8 OLI image, Korean Journal of Remote Sensing, 35(4): 561-571 (in Korean with English abstract).
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Seong, S.K., S.I. Na, and J.W. Choi, 2020. Assessment of the FC-DenseNet for crop cultivation area extraction by using RapidEye satellite imagery, Korean Journal of Remote Sensing, 36(5-1): 823-833 (in Korean with English abstract).
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Ye, C.S., 2020. Evaluating the contribution of spectral features to image classification using class separability, Korean Journal of Remote Sensing, 36(1): 55-65 (in Korean with English abstract).
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Choi, S.K., S.K. Lee, Y.B. Kang, S.K. Seong, D.Y. Choi, and G.H. Kim, 2020. Applicability of image classification using deep learning in small area: case of agricultural lands using UAV image, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 38(1): 23-33 (in Korean with English abstract).
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Na, H.S. and J.S. Lee, 2014. Analysis of land cover characteristics with object-based classification method - focusing on the DMZ in Inje-gun, Gangwon-do, Journal of the Korean Association of Geographic Information Studies, 17(2): 121-135 (in Korean with English abstract).
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Kucharczyk, M., G.J. Hay, S. Ghaffarian, and C.H. Hugenholtz, 2020. Geographic object-based image analysis: a primer and future directions, Remote Sensing, 12(12): 2012.
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Lee, S. and J. Kim, 2019. Land cover classification using sematic image segmentation with deep learning, Korean Journal of Remote Sensing, 35(2): 279-288 (in Korean with English abstract).
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Lee, S.H. and M.J. Lee, 2020. A study on deep learning optimization by land cover classification item using satellite imagery, Korean Journal of Remote Sensing, 36(6-2): 1591-1604 (in Korean with English abstract).
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Rhee, S.Y., W.S. Jeon, and H. Choi, 2018. Analysis of deep learning applicability for KOMPSAT-3A satellite image classification, Journal of the Korean Society for Geospatial Information Science, 26(4): 69-76 (in Korean with English abstract).
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Shin, J.S., T.H. Lee, P.M. Jung, and H.S. Kwon, 2015. A study on land cover map of UAV imagery using an object-based classification method, Journal of the Korean Society for Geospatial Information Science, 23(4): 25-33 (in Korean with English abstract).
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Blaschke, T., 2010. Object based image analysis for remote sensing, ISPRS Journal of Photogrammetry and Remote Sensing, 65: 2-16.
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Song, J.Y., J.C. Jeong, and P.S.H. Lee, 2018. Development of a classification method for forest vegetation on the stand level, using KOMPSAT-3A imagery and land coverage map, Korean Journal of Environment and Ecology, 32(6): 686-697 (in Korean with English abstract).
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Ye, C.S., 2021. Improvement of object-based image classification using hue channel class merging, 2021 Fall Online Conference of the Korean Society for Remote Sensing, KOR, Oct. 20-22.
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