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...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2018
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Online Access: | http://ndltd.ncl.edu.tw/handle/45a7mz |