참고문헌
- Breiman, L.(1999) Random forests-random features, Technical Report 567, Statistics Department, University of California, Berkeley.
- Chapelle, O., P. Haffner and V.N. Vapnik(1999) Support vector machines for histogram-based image classification. IEEE Transactions on Neural Networks 10(5): 1055-1064. https://doi.org/10.1109/72.788646
- Choi, J.Y., S.H. Lee, S.A. Lee, S.Y. Ji and P.S.H. Lee(2015) Applicability of supervised classification for subdividing forested areas using SPOT-5 and KOMPSAT-2 data. The Korea Society of Environmental Restoration Technology 18(2): 89-104. (in Korean with English abstract) https://doi.org/10.13087/kosert.2015.18.2.89
- Ghamisi, P., J.A. Benediktsson and S. Phinn(2015) Land-cover classification using both hyperspectral and LiDAR data. International Journal of Image and Data Fusion 6: 189-215. https://doi.org/10.1080/19479832.2015.1055833
- Hayes, M., S.N. Miller and M.A. Murphy(2014) High-resolution landcover classification using Random Forest. Remote Sensing Letters 5: 112-121. https://doi.org/10.1080/2150704X.2014.882526
- Jung, M., S.H. Lee, E. Chang and S. Hong(2012) Method of Monitoring Forest Vegetation Change based on Change of MODIS NDVI Time Series Pattern. Journal of Korea Spatial Information Society 20(4): 47-55. (in Korean with English abstract)
- Kang, N.Y., S.Y. Go and G. S. Cho(2013) A comparative study on suitable SVM kernel function of land cover classification using KOMPSAT-2 imagery. The Korea Society for Geospatial Information System 21(2): 19-25. (in Korean with English abstract)
- Kim, H.O., J.M. Yeom and Y. S. Kim(2011) The multi-temporal characteristics of spectral vegetation indices for agricultural land use on RapidEye satellite imagery. Korea Aerospace Research Institute 10(1): 149-155. (in Korean with English abstract)
- Kim, S.J. and Y.G. Lee(2018) Present Status and Future Prospect of Satellite Image Uses in Water Resources Area. Korean Journal of Ecology and Environment 51(1): 105-123. (in Korean with English abstract) https://doi.org/10.11614/KSL.2018.51.1.105
- Kim, T.H., K.H. Kim, G.B. Nam, J.H. Shim, W.J. Choi and M. H. Cho(2010) Development of Natural Disaster Damage Investigation System using High Resolution Spatial Images. Korea Spatial Information Society 12(1): 57-65. (in Korean with English abstract)
- Ku, C.Y.(2011) A Study on Managing and processing the Images with Different Spatial Resolution for the Systemic Land Cover Classification. The Korean Association of Professional Geographers 45(3): 375-386. (in Korean with English abstract)
- Kulkarni, A.D. and B. Lowe(2016) Random Forest Algorithm for Land Cover Classification. International Journal on Recent and Innovation Trends. In Computing and Communication 4(3): 58-63.
- Landis, J.R. and G.G. Koch(1977) The measurement of observer agreement for categorical data. Biometrics 33: 159-174. https://doi.org/10.2307/2529310
- Lee, . G., J.H. You,Y.G. Yu and H. J. Lee(2018) Establish of Parallel Object Based Classification Process and Extraction of Spatial Objects Using KOMPSAT-3A Satellite Image, Proceeding of 2018 Symposium of the Korean Society for Geospatial Information Science, pp. 93-94. (in Korean with English abstract)
- Lee, J., J.H. Ru and Y.G. Yu(2010) Extracting High Quality Thematic Information by Using High-Resolution Satellite Imagery. The Korea Society for Geospatial Information System 18(1): 73-81. (in Korean with English abstract)
- Lee, S.H.(2009) Adaptive Reconstruction of NDVI Image Time Series for Monitoring Vegetation Changes. The Korean Society of Remote Sensing 25(2): 95-105. (in Korean with English abstract)
- Li, M., L. Ma, T. Blaschke, L. Cheng and D. Tiede(2016) A systematic comparison of different object-based classification techniques using high spatial resolution imagery in agricultural environments. International Journal of Applied Earth Observation and Geoinformation 49: 87-98. https://doi.org/10.1016/j.jag.2016.01.011
- Lim, Y.S., Y.D. Eo and M.W. Pyeon(2016) Experiments of Individual Tree and Crown Width Extraction by Band Combination Using Monthly Drone Images. The Korean Society for Geospatial Information Science 24(4): 67-74. (in Korean with English abstract)
- Mittal, V., D. Singh and L.M. Saini(2015) A critical analysis of EM based fusion of different polarization data for effect on land cover classification. Advances in Space Research 56(6): 1094-1105. https://doi.org/10.1016/j.asr.2015.06.004
- Myint, S.W., P. Gober, A. Brazel, S. Grossman-Clarke and Q. Weng(2011) Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery. Remote Sensing of Environment 115(5): 1145-1161. https://doi.org/10.1016/j.rse.2010.12.017
- Oh, C.Y., S.Y. Park, H.S. Kim, Y.W. Lee and C. U. Choi(2010) Comparison of Landcover Map Accuracy Using High Resolution Satellite Imagery. The Korean Association of Geographic Information Studies 13(1): 89-100. (in Korean with English abstract)
- Ortiz, M.J., A.R. Formaggio and J.C.N. Epiphanio(1997) Classification of croplands through integration of remote sensing GIS and historical database. International Journal of Remote Sensing 18(1): 95-105. https://doi.org/10.1080/014311697219295
- Park, J.G., S.Y. Go and G.S. Cho(2013) Vegetation Classification using KOMPSAT-2 Imagery and High-resolution airborne imagery in Urban Area. Journal of the Korean Society for Geospatial Information Science 21(4): 21-27. (in Korean with English abstract) https://doi.org/10.12672/ksis.2013.21.3.021
- Park, J.J., S.W. Oh, K.A. Park, M.S. Lee, J.C. Jang and M.J. Lee(2018) A methodology of ship detection using high-resolution satellite optical image. Journal of the Korean Earth Science Society 39(3): 241-249. (in Korean with English abstract) https://doi.org/10.5467/JKESS.2018.39.3.241
- Scholkopf, B., S. Mika, C.J.C. Burges, P. Knirsch, K.-R. Muller, G. Ratsch and A. J. Smola(1999) Input space versus feature space in Kernel-based methods. IEEE Transactions on Neural Networks 10(55): 1000-1016. https://doi.org/10.1109/72.788641
- Sim, W.S., S.Y. Sung and C. K. Cheng(2009) Performance Analysis of Support Vector Machine Using Kernel Function. Proceeding of 2009 Symposium of the Institute of Electronics Engineers of Korea, pp. 796-797. (in Korean with English abstract)
- Tomppo, E. and M. Katila(1991) Satellite image-based national forest inventory of Finland, Proceeding of IGARSS 1991 Symposium of Geoscience and Remote Sensing Symposium - Remote Sensing: 3rd Global Monitoring for Earth Management, pp. 1141-1144.
- Voigt, S., T. Kemper, T. Riedlinger, R. Keifl, K. Scholte and H. Mehl(2007) Satellite image analysis for disaster and crisis-management support. IEEE Transactions on Geoscience and Remote Sensing 45(6): 1520-1528. https://doi.org/10.1109/TGRS.2007.895830
- Wu, T.F., C.J. Lin and R.C. Weng(2004) Probability estimates for multi-class classification by pairwise coupling. Journal of Machine Learning Research 5: 975-1005.
- Yong, S.S., G.S. Kang and H.P. Heo(2016) Current Status and Future Prospects of Satellite Payloads Technology. Korean Society for Aeronautical and Space Sciences 44(8): 710-717. (in Korean with English abstract) https://doi.org/10.5139/JKSAS.2016.44.8.710
- Zhu, G. and D. G. Blumberg(2002) Classification using ASTER data and SVM algorithms; The case study of Beer Sheva, Israel. Remote Sensing of Environment 80: 233-240. https://doi.org/10.1016/S0034-4257(01)00305-4