Korean Journal of Environment and Ecology (한국환경생태학회지)

Korean Society of Environment and Ecology (한국환경생태학회)
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Discriminant Analysis of Natural Landscape Features in National Parks between Korea and Scotland - Using Low-Level Functions of Content-Based Image Retrieval -

한국과 영국 사이의 국립공원 자연 경관 특색의 판별 분석 - 내용기반 영상검색의 저단계 기능 측면에서 -

  • 이덕재 (상지대학교 산림과학과)
  • Published : 2008.06.30
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Abstract

This study aims to discriminate differences in natural landscapes between the Cairngorms National Park in Scotland and the Jirisan National Park in Korea, using functions of content-based image retrieval such as texture, shape, and color. Digital photographs of each National Park were taken and selected. The low-level functions of photographic images were reduced to orthogonally rotated five factors. Based on the reduced factors, a linear decision boundary was obtained between Cairngorms landscapes and Jirisan landscapes. As a result, the discriminant function significantly delineated two groups, resulting in $x^2=63.40$ with df=5(p<0.001). Both the eigenvalue 2.417 and the value of wilks' lambda 0.29 supported that the most proportion of total variability came from the differences between the means of discriminant function of groups. It was estimated that four independent variables explained about 70.7% of total variance of dependent variable. The variable with the largest effect on landscapes was far region-related factor(r=1.07), followed by near region-related factor (r=0.90). A total of 90.7% of cross-validated grouped cases were correctly classified. It was interpreted that far distant regions, as well as near distant regions, had sufficient discrimination power for landscape classification between the Cairngorms National Park and the Jirisan National Park, so that landscape identity of the National Park over cultures was revealed by skylines in a most effective way. Relatively fewer factors making visual landscapes were effectively used to classify natural landscapes of the National Parks which had different semantics.

질감, 모양, 색채 등 내용기반 영상검색(CBIR)의 기능을 이용하여 한국의 지리산 국립공원과 영국의 케이른고럼스 국립공원의 자연 경관에 있어서의 차이를 판별하는데 본 연구의 목적이 있다. 먼저 각 국립공원의 자연경관을 디지털 사진영상으로 촬영한 후, 전형적인 경관사진을 선별하였다. 사진영상의 저단계 기능(Low-level function)이 계량화되어 수직적으로 회전된 다섯 개의 요인으로 축약되었다. 이 중 유의한 차이를 보이지 않은 물 관련 요인이 제외된 나머지 네 개의 요인에 근거한 판별선이 케이른고럼스 경관과 지리산 경관 사이에서 도출되어, 판별함수가 두 그룹을 유의하게 분할하였다($x^2(4)$=61.433; p<0.001). 고유치 2.417과 월크스 람다 0.293에 의하여 전체 변이가 두 그룹의 판별함수 평균의 차이에서 대부분 산출되었음을 확인하였다. 또한, 네 개의 독립변수가 종속변수 전체 분산의 70.7%를 설명하는 것으로 추정되었다. 경관에 대하여 가장 큰 효과를 나타내는 변수는 원거리관련 변수(r=1.073)이며, 다음으로 근거리관련 변수(r=0.896)였으며, 전체적으로 90.7%가 타당하게 분류되었다. 이는 케이른고럼스 국립공원과 지리산 국립공원 자연경관 사이에서 사진영상의 근거리 요인뿐만 아니라, 원거리 요인이 보다 경관 차이에 유의한 판별력을 보이는 것으로 해석되므로, 국립공원의 경관정체성과 관련한 원거리 스카이라인의 시각적 중요성을 보여주는 것이라 하겠다.

Keywords

References

  1. Antani, S. R. Kasturi and R. Jain(2002) A survey on the use of pattern recognitionmethods for abstraction, indexing and retrieval of images and video. Pattern Recognition 35: 945-965 https://doi.org/10.1016/S0031-3203(01)00086-3
  2. Appleton, K. and A. Lovett(2003) GIS-based visualisation of rural landscapes: defining 'sufficient' realism for environmental decision-making. Landscape and Urban Planning 65: 117-131 https://doi.org/10.1016/S0169-2046(02)00245-1
  3. Arriaza, M. J. F. Canas-Ortega, J. A. Canas-Madueno, and P. Ruiz-Aviles(2004) Assessing the visual quality of rural landscapes. Landscape and Urban Planning 69(1): 115-125 https://doi.org/10.1016/j.landurbplan.2003.10.029
  4. Bae, J.(1997) A study on the classification of landscape unit and viewshed analysis using GIS and MESH method. Korean Journal of Environment and Ecology 11(3): 326-333
  5. Black Jr. A. J., K. Kahol, P. Tripathi and S. Panchanathan(2003) Visual concept derivation from natural scenery images using lexical basis functions, multidimensional scaling, and density clustering. Proceedings of the 1st Indian International Conference on Artificial Intelligence. India: IICAI. pp. 5-17
  6. Brown, T.(1994) Conceptualizing smoothness and density as landscape elements in visual resource management. Landscape and Urban Planning 30(1-2): 49-58 https://doi.org/10.1016/0169-2046(94)90066-3
  7. Cheng, Y. and S. Chen(2003) Image classification using color, texture and regions. Image and Vision Computing 21: 759-776 https://doi.org/10.1016/S0262-8856(03)00069-6
  8. Colvin, B.(1990) Trees in the Countryside. In B. Clouston(ed.), Landscape design with plants(2nd ed.), Architectural Press, Oxford, 448pp
  9. Cornford, A. and S. Dale(1990) Design and management of interior landscape. In B. Clouston(ed.), Landscape design with plants(2nd ed.), Architectural Press, Oxford, 448pp
  10. Daniel, T.C. and J. Vining(1983) Methodological issues in the assessment of landscape quality. In I. Altman and J. Wohwill (eds.), Behavior and the natural environment. Chap. 2. Plenum Press, New York, 346pp
  11. Ervin, M. S.(2001) Digital landscape modelling and visualisation: a research agenda. Landscape and Urban Planning 54: 49-62 https://doi.org/10.1016/S0169-2046(01)00125-6
  12. Everitt, S. B. and G. Dunn(2001) Applied multivariate data analysis(2nd ed.), Arnold, London, 342pp
  13. Fairbrother, N.(1970) New lives, New landscapes. Architectural Press, London, 397pp
  14. Fisher, R. A.(1936) The use ofmultiplemeasurements in taxonomic problems. Ann. Eugen 7: 179-188 https://doi.org/10.1111/j.1469-1809.1936.tb02137.x
  15. Fisher, R. A.(1938) The statistical utilization of multiple measurements. Ann. Eugen. 8: 376-386 https://doi.org/10.1111/j.1469-1809.1938.tb02189.x
  16. Foley,D. J.,A. vanDam,K. S. Feiner and F. J.Hughes(1995)Computer graphics: principles and practice(2nd ed.), Addison-Wesley Publishing Co., Reading, Mass, 1175pp
  17. Garcia, L., J. Hernandez and F. Ayuga(2003) Analysis of the exterior colour of agroindustrial buildings: a computer aided approach to landscape integration. Journal of Environmental Management 69: 93-104 https://doi.org/10.1016/S0301-4797(03)00121-X
  18. Han, G.(2005) A study on landscape Characteristics of Odesan National Park by using GIS and RS. Journal of the Korean Association of Geographic Information Studies 8(4): 114-122
  19. Hands, E. D. and D. R. Brown(2002) Enhancing visual preference of ecological rehabilitation sites. Landscape and Urban Planning 58: 57-70 https://doi.org/10.1016/S0169-2046(01)00240-7
  20. Hehl-Lange, S.(2001) Structural elements of the visual landscape and their ecological functions. Landscape and Urban Planning 54(1-4): 107-115 https://doi.org/10.1016/S0169-2046(01)00129-3
  21. Im, S. and J. Shin(1998) A study on the visual resourcemanagement for Soraksan National Parks and adjacent area. Journal of the Korean Institute of Landscape Architecture 26(2): 283-292
  22. Institute of Environmental Assessment and the Landscape Institute(1995) Guidelines for landscape and visual impact assessment. E and FN SPON, London, 126pp
  23. Jain, A. and D. Zongker(1997) Feature selection: evaluation, application, and small sample performance. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(2): 153-158 https://doi.org/10.1109/34.574797
  24. Jain, A. K., R. P.W. Duin and J.Mao(2000) Statistical pattern recognition: a review. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(1): 437
  25. Kaufman, A. J. and V. I. Lohr(2004) Does plant color affect emotional and physiological responses to landscapes? Acta Horticulture (ISHS) 639: 229-233
  26. Kim, S. and J. Huh(2007) A study on the image and visual preference for the Seongpanak district at the Mt. Hallasan. Korean Journal of Environment and Ecology 21(2): 134-140
  27. Koh, D.(1997) Visual impact assessment of Hallasan National Park management action. Korean Journal of Environment and Ecology 11(1): 1-17
  28. Lamb, R. J. and A. T. Purcell(1990) Perception of naturalness in landscape and its relationship to vegetation structure. Urban Landscape Planning 19: 333-352 https://doi.org/10.1016/0169-2046(90)90041-Y
  29. Lee, D.(2006) Cross-cultural comparison of landscape preference for the National Park: An approach from a typicality of landscape. Korean Journal of Environment and Ecology 20(4): 482-492
  30. Litton, R. B.(1982) Visual assessment of natural landscapes. Western Geographical Series 20: 97-114
  31. Lucas, O. W. R.(1991) The design of forest landscapes. Oxford University Press, Oxford, 381pp
  32. Purcell, A. T.(1992) Abstract and specific physical attributes and the experience of the landscape. Journal of Environmental Management 34: 159-177 https://doi.org/10.1016/S0301-4797(05)80149-5
  33. Purcell, A. T., R. J. Lamb, E. Mainardi Peron and S. Falchero(1994) Preference or preferences for landscape. Journal of Environmental Psychology 14: 195-205 https://doi.org/10.1016/S0272-4944(94)80056-1
  34. Rui, Y. and S. T. Huang(1999) Image retrieval: current techniques, promising directions, and open issues. Journal of Visual Communication and Image Representation 10: 39-62 https://doi.org/10.1006/jvci.1999.0413
  35. Russell, P., J. Deregowski and P. Kinnear(1980) Chapter 4. Perception and aesthetics. InW. J.Berry, R. P. Dasen, and S.T. Saraswathi(eds.), Handbook of cross-cultural psychology vol.2. Basic processes and human development, Allyn and Bacon, Boston, 546pp
  36. Schrader, S.(1997) ERDAS IMAGINE: field guide. Manchester Computing, Manchester, 660pp
  37. Shafer, L. E., E. J. Hamilton and A. E. Schmidt(1969) Natural landscape preferences: a predictive model. Journal of Leisure Research 1(1): 1-19 https://doi.org/10.1080/00222216.1969.11969706
  38. Steinitz, C.(1990) Toward a sustainable landscape with high visual preference and high ecological integrity: the loop road in Acadia National Park, U.S.A. Landscape and Urban Planning 19(3): 213-250 https://doi.org/10.1016/0169-2046(90)90023-U
  39. Theodoridis, S. and K. K. Koutroumbas(1999) Pattern recognition. Academic Press, San Diego, 625pp
  40. Vailaya, A., A. Jain and H. J. Zhang(1998) On image classification: city images vs. landscapes. Pattern Recog. 31(12): 1921-1935 https://doi.org/10.1016/S0031-3203(98)00079-X
  41. Wang, M. Y. and H. Zhang(2004) Detecting image orientation based on low-level visual content. Computer Vision and Image Understanding 93: 328-346 https://doi.org/10.1016/j.cviu.2003.10.006
  42. Zube, E. H., J. L. Sell and J. G. Taylor(1982) Landscape perception: research, application and theory. Landscape Planning 9: 1-33 https://doi.org/10.1016/0304-3924(82)90009-0