대한원격탐사학회:학술대회논문집 (Proceedings of the KSRS Conference)
- 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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- Pages.218-224
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- 1998
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- 1226-9743(pISSN)
Characteristics of Multi-Spatial Resolution Satellite Images for the Extraction of Urban Environmental Information
- Seo, Dong-Jo (Graduate School of Environmental Studies, Seoul National University) ;
- Park, Chong-Hwa (Graduate School of Environmental Studies, Seoul National University) ;
- Tateishi, Ryutaro (Center for Environmental Remote Sensing, Chiba University)
- 발행 : 1998.09.01
초록
The coefficients of variation obtained from three typical vegetation indices of eight levels of multi-spatial resolution images in urban areas were employed to identify the optimum spatial resolution in terms of maintaining information quality. These multi-spatial resolution images were prepared by degrading 1 meter simulated, 16 meter ADEOS/AVNIR, and 30 meter Landsat-TM images. Normalized Difference Vegetation Index (NDVI), Perpendicular Vegetation Index (PVI) and Soil Adjusted Ratio Vegetation Index (SARVI) were applied to reduce data redundancy and compare the characteristics of multi-spatial resolution image of vegetation indices. The threshold point on the curve of the coefficient of variation was defined as the optimum resolution level for the analysis with multi-spatial resolution image sets. Also, the results from the image segmentation approach of region growing to extract man-made features were compared with these multi-spatial resolution image sets.
키워드