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画像オブジェクトに基づく高分解能衛星画像での土地被覆分類手法の検討
Land Cover Classification Based on Image Objects for High Resolution Satellite Image
2009
Tonan ajia kenkyu
Land Cover Classification Based on Image Objects for High Resolution Satellite Image
Land use is basic information in regional and rural studies, and remote sensing (RS) is a useful tool for understanding land use and land cover (LULC). High resolution satellite images (HRSI) such as IKONOS and QuickBird have been used in LULC studies for about a decade, and they are now popular among RS professionals and nonprofessionals alike. However, classification methods are not standardized for HRSI, whereas supervised/unsupervised classification is commonly applied for middle-resolution
doi:10.20495/tak.46.4_578
fatcat:d4i4rtyhsbhl3d2s6obhgi6dva