References
- Buchheim, M. and T. Lillesand, 1989. Semi-automated training field extraction and analysis for efficient digital image classification, Photogrammetric Engineering and Remote Sensing, 55(9): 1347-1355.
- Chun, K.W., K.N. Kim, and D.S. Cha, 1995. Study on channel-bed fluctuation using aerial photographs-analysis of spatial and temporal distribution on the deposits, Journal of Korean Forestry Society, 84(3): 369-376.
- Congalton, R.G., 1991. A review of assessing the accuracy of classifications of remotely sensed data, Remote Sensing of Environment, 37(1): 35-46. https://doi.org/10.1016/0034-4257(91)90048-B
- Foody, G.M. and A. Mathur, 2004. Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification, Remote Sensing of Environment, 93(1): 107-117. https://doi.org/10.1016/j.rse.2004.06.017
- Jackson, Q. and D.A. Landgrebe, 2001. An adaptive classifier design for high-dimensional data analysis with a limited training data set, IEEE Transactions on Geoscience and Remote Sensing, 39(12): 2664-2679. https://doi.org/10.1109/36.975001
- Jang, D.H. and M.K. Kim, 2003. Improving of landcover map using IKONOS image data, Journal of Geographic Information System Association of Korea, 11(2): 101-117.
- Jensen, J.R., 2005. Introductory digital image processing: a remote sensing perspective, Prentice Hall.
- Kang, J.M., J.S. Lee, J.B. Kim, and C. Zhang, 2009. A study to compare SVM with maximum likelihood classification using the high resolution satellite imagery, Proc. of Conference of the Korean Society of Civil Engineers, 1563-1566.
- Kim, S.W., 2003. Preparation of land cover and use map by object oriented classification of IKONOS imagery, Master's Thesis, Korea University.
- Ku, C.Y., 2007. Generation of the land cover map with high resolution satellite image, The Geographical Journal of Korea, 41(1): 83-94.
- Landis, J.R. and G.G. Koch, 1977. An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers, Biometrics: 363-374.
- Lee, B.Y., C.H. Lee, S.W. Lee, and D. Ha, 2009. Application of the high resolution aerial images to estimate nonpoint pollution loads in the unit load appreach, Journal of Environmental Impact Assessment, 18(5): 281-291.
- Lee, G.S., H.S. Lee, H.S. Chae, and E.H. Hwang, 2007. Landuse analysis of urban-stream using aerial image, Journal of the Korean Society of Civil Engineers, 27(3): 351-357.
- Lee, H.J., R.J. Ho, and Y.Y. Geol, 2010. Extracting High Quality Thematic Information by Using High-Resoultion Satellite Imagery, Journal of the Korean Society for Geo-Spatial Information System, 18(1): 73-81.
- Lee, H.J., J.H. Lu, and S.Y. Kim, 2011. Land Cover Object-oriented Base Classification Using Digital Aerial Photo Image, Journal of the Korean Society for Geo-Spatial Information System, 19(1): 105-113.
- Lee, S.M., 2011. A Study on Using High-Resolution Aerial Photos of Land Cover Classification Characteristics, Master's Thesis, Kyonggi University.
- Lim, H.Y., 2005. Comparison of hyperspectral image classification techniques, Master's Thesis, Kyungpook National University
- McCaffrey, T.M. and S.E. Franklin, 1993. Automated training site selection for large-area remote-sensing image analysis, Computers & Geosciences, 19(10): 1413-1428. https://doi.org/10.1016/0098-3004(93)90059-E
- Park, G.A., M.S. Lee, H.J. Kim, and S.J. Kim, 2004. Analysis of River Channel Morphology and Riparian Land Use Changes Using Aerial Photographs, Journal of the Korean Society of Civil Engineers, 24(5D): 815-821.
- Sagong, H.S. and J.H. Im, 2003. An Empirical Study on the Land Cover Classification Method using IKONOS Image, Journal of the Korean Association of Geographic Information Studies, 6(3): 107-116.
- Thomas, N., C. Hendrix, and R.G. Congalton, 2003. A comparison of urban mapping methods using high-resolution digital imagery, Photogrammetric Engineering and Remote Sensing, 69(9): 963-972. https://doi.org/10.14358/PERS.69.9.963
- Woo, H.U., 2004. Land cover classification using high resolution satellite image and airborne laser scan data, Master's Thesis, Chungbuk National University.
Cited by
- A Study on the Improvement of Sub-divided Land Cover Map Classification System - Based on the Land Cover Map by Ministry of Environment - vol.32, pp.2, 2016, https://doi.org/10.7780/kjrs.2016.32.2.4
- 항공정사영상의 상대적인 지상좌표 위치오차에 따른 색상보정 vol.33, pp.5, 2014, https://doi.org/10.7780/kjrs.2017.33.5.1.4
- 객체분할과 과거 토지피복 정보를 이용한 토지피복도 갱신 vol.33, pp.6, 2014, https://doi.org/10.7780/kjrs.2017.33.6.2.5