Study on the Uncertainty in Landuse/Landcover Classification Using Remote Sensing Images
碩士 === 國立臺灣大學 === 生物環境系統工程學研究所 === 106 === Land-use/land-cover (LULC) classification using remote sensing images have been widely applied for earth surface monitoring, environmental change detection, water resources management, etc. All supervised classification methods require using a set of traini...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/45a7mz |