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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2015.9
- 수록면
- 85 - 93 (9page)
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초록· 키워드
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This paper mainly introduces the methods of extracting landslide information using ALOS(Advanced Land Observing Satellite) images and GIS(Geographical Information System) technology. In this study, we classified images using three different methods which are the unsupervised、the supervised and the PCA(Principal Components Analysis) for extracting landslide information based on characteristics of ALOS image. From the image classification results, we found out that the quality of classified image extracted with PCA supervised method was superior than the other images extracted with the other methods. But the accuracy of landslide information extracted from this image classification was still very low as the pixels were very similar between the landslide and safety regions. It means that it is really difficult to distinguish those areas with an image classification method alone because the values of pixels between the landslide and other areas were similar, particularly in a region where the landslide and other areas coexist. To solve this problem, we used the LSM(Landslide Susceptibility Map) created with ArcView software through weighted overlay GIS method in the areas. Finally, the developed LSM was applied to the image classification process using the ALOS images. The accuracy of the extracted landslide information was improved after adopting the PCA and LSM methods. Finally, we found that the landslide region in the study area can be calculated and the accuracy can also be improved with the LSM and PCA image classification methods using GIS tools.
목차
Abstract
1. Introduction
2. The study area
3. Materials and methods
4. LSM and image reclassification
5. Conclusions
References
참고문헌 (15)
참고문헌 신청
[학술지(정기간행물)] - Aleotti, P. / 1999 / Landslide hazard assessment: summary review and new perspectives / Bulletin of Engineering Geology and the Environment 58 : 21 ~ 44
[학술지(정기간행물)] - Guzzetti, F. / 1999 / Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy / Geomorphology 31 : 181 ~ 216
[단행본] - Hagan, M. T. / 1996 / Neural Network Design / PWS Publishing
[학술지(정기간행물)] - Holden, H. / 1998 / Spectral discrimination of healthy and non-healthy corals based on cluster analysis, Principal components analysis, and derivative spectroscopy / Remote Sensing of Environment 65 (2) : 217 ~ 224
[학술지(정기간행물)] - Jensen, J. R. / 1999 / Predictive modeling of coniferous forest age using statistical and artificial neural network approaches applied to remote sensing data / International Journal of Remote Sensing 20 (14) : 2805 ~ 2822
[학술지(정기간행물)] - Guzzetti, F. / 1999 / Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy / Geomorphology 31 : 181 ~ 216
[단행본] - Hagan, M. T. / 1996 / Neural Network Design / PWS Publishing
[학술지(정기간행물)] - Holden, H. / 1998 / Spectral discrimination of healthy and non-healthy corals based on cluster analysis, Principal components analysis, and derivative spectroscopy / Remote Sensing of Environment 65 (2) : 217 ~ 224
[학술지(정기간행물)] - Jensen, J. R. / 1999 / Predictive modeling of coniferous forest age using statistical and artificial neural network approaches applied to remote sensing data / International Journal of Remote Sensing 20 (14) : 2805 ~ 2822
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UCI(KEPA) : I410-ECN-0101-2016-533-001949010