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Spectral Signatures of Tombs and their Classification  

Eunmi Change (3GCORE Institute)
Kyeong Park (Department of Geography, Sungshin Women′s University)
Minho Kim (University of Georgia)
Publication Information
Journal of the Korean Geographical Society / v.39, no.2, 2004 , pp. 283-296 More about this Journal
Abstract
More than 0.5 percent of land in Korea is used for cemetery and the rate is growing in spite of the increase in cremation these days. The systematic management of tombs may be possible through the ‘Feature Extraction’ method which is applied to the high-resolution satellite imagery. For this reason, this research focused on finding out the radiometric characteristics of tombs and the classification of them. An IKONOS image of northwest areas of Seoul with 8km x 10km dimension was analyzed. After sampling 24 tombs in the study area, the statistical radiometric characteristics of tombs are analyzed. And tombs were classified based on the criteria such as landscape, NDVI, and cluster analysis. In addition, it was investigated if the aspect or slope of the terrain influenced to the classification of tombs. As a result of this research, authors find that there is similarity between the classification tv NDVI and the classification through cluster analysis. And aspect or slope didn't have much influence on the classification of tombs.
Keywords
tomb; feature extraction; statistical radiometric characteristic; classification of tomb; aspect; slope;
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