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http://dx.doi.org/10.12672/ksis.2013.21.1.063

Application of the Rule-Based Image Classification Method to Jeju Island  

Lee, Jin-A (Dept. of Geoinformatic Engineering, University of Science & Technology)
Lee, Sung-Soon (Korea Institute of Geoscience and Mineral Resources)
Publication Information
Spatial Information Research / v.21, no.1, 2013 , pp. 63-73 More about this Journal
Abstract
Geographic features are reflected in satellite images, which contain characteristic elements. Information on changes can be obtained through a comparison of images taken at different times. If multi-temporal images can be classified through the use of an unsupervised method, this is likely to improve the accuracy of image classification and contribute to various applications. A rule-based image classification algorithm for automatic processing without human involvement has been developed, but it must be verified that its results are not affected by imperfect elements. In this study, Landsat images of Jeju Island were used to carry out a rule-based image classification. The application results were examined for complex cases, including the presence of clouds in the images, different photographed times, and the type of target area, such as city, mountain, or field. The presence of clouds did not affect calculations, and appropriate classification rules were applied, depending on the different photographed times. The expansion of the urban areas of Jeju and the increase of facilities such as vinyl greenhouses in Seoguipo were identified. Furthermore, space information changes and accurate classifications for Jeju Island were obtained. With the goal of performing high-quality unsupervised classifications, measures to generalize and improve the methods employed were searched for. The findings of this study could be used in time-series analyses of images for various applications, including urban development and environmental change monitoring.
Keywords
Remote sensing; Rule-based classification; Unsupervised-classification; Time series analysis; Landsat;
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Times Cited By KSCI : 8  (Citation Analysis)
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1 Alphan, H; Doygun, H; Unlukaplan, YI. 2009, Post-classification Comparison of Land Cover using Multitemporal Landsat and ASTER Imagery: the case of Kahramanmaras, Turkey, Environmental Monitoring and Assessment, 151(1-4):327-336.   DOI
2 Coenen, F; Leng, P. 2007, The effect of Threshold values on Association Rule Based Classification Accuracy, Data & Knowledge Engineering, 60(2):345-360.   DOI   ScienceOn
3 Guindon, B; Zhang, Y; Dillabaugh, C. 2004, Landsat Urban Mapping Based on a Combined Spectral-spatial Methodology, Remote Sensing of Environment, 92(2):218-232.   DOI   ScienceOn
4 Jang, D. H. 2005, Change Detection of land - surface Environment in Gongju Areas Using Spatial Relationships between Land - surface Change and Geo - spatial Information, Journal of the Korean Geographical Society, 40(3): 296-309.   과학기술학회마을
5 Jang, D. H; Kim, C. S; Park, J. H. 2010, The Land-cover Changes and Pattern Analysis in the Tidal Flats Using Post-classification Comparison Method: The Case of Taean Peninsula Region, Journal of the Korean Geographical Society, 45(2):201-317.   과학기술학회마을
6 Jang, D. H; Kim, M. K. 2003, Improving of land-cover map using IKONOS image data, The Journal of GIS Association of Korea, 11(2):101-117.   과학기술학회마을
7 Kim, Y. S; Lee, K. J; Ryu, J. W. 2003, Land Use/Cover Classification Nomenclature for Urban Growth Analysis, Paper presented at the spring meeting for GIS Association of Korea :537-543.
8 Krishnaswamy, J; Kiran, M. C; Ganeshaiah, K. N. 2004, Tree Model based Eco-climatic Vegetation Classification and Fuzzy Mapping in Diverse Tropical Deciduous Ecosystems using Multi-Deason NDVI, International Journal of Remote Sensing, 25(6):1185-1205.   DOI   ScienceOn
9 Lawrence, R. L; Wright, A. 2001, Rule-Based Classification Systems using Classification and Regression Tree (CART) Analysis, Photogrammetric engineering and Remote Sensing, 67(10): 1137-1142.
10 Lee, J. A; Lee, S. S. 2011, A Rule-Based Image Classification Method for Analysis of Urban Development in the Capital Area, Journal of Korea Spatial Information Society, 19(6):55-66.   과학기술학회마을
11 Lee, J. Y; Kim, B. S. 2008, Automated Vinyl Green House Identification Method Using Spatial Pattern in High Spatial Resolution Imagery, Korean Journal of Remote Sensing, 24(2):117-124.   과학기술학회마을   DOI
12 Lee, K. W; Yu, Y. C; Song, M. Y; Sagong H. S. 2002, Comparative Analysis of Land-use thematic GIS layers and Multi-resolution Image Classification Results by using LANDSAT 7 ETM+ and KOMPSAT EOC image, The Journal of GIS Association of Korea, 10(2):331-343.   과학기술학회마을
13 Liu, B; Ma, Y; Wong, C. K. 2000, Improving an Association Rule Based Classifier, Principles of Data Mining and Knowledge Discovery Lecture Notes in Computer Science, 1910:504-509.
14 Quan, H. C; Lee, B. G. 2009, Analysis of Relationship Between LST and NDVI using Landsat TM Images on the City Areas of Jeju Island, Journal of the Korean Society for GeoSpatial Information System, 17(4):39-44.   과학기술학회마을
15 Shin, K. J; Yu, Y. G; Hwang, E. J. 2009, Land Use Analysis of Chung-Ju Road Circumstance Using Remote Sensing, Journal of the Korea Contents Association, 9(6):436-443.   과학기술학회마을   DOI   ScienceOn
16 Warner, T. A; Levandowski, D. W; Bell, R; Cetin, H. 1994, Rule-Based Geobotanical Classification of Topographic, Aeromagnetic, and Remotely Sensed Vegetation Community Data, Remote Sensing of Environment, 50(1):41-51.   DOI   ScienceOn
17 Zha, Y; Gao, J; Ni, S. 2003, Use of Normalized Difference Built-up Index in automatically Mapping Urban Areas from TM Imagery, International Journal of Remote Sensing, 24(3):583-594.   DOI   ScienceOn