supervised classification of image

基本解释

Our proposed CAAR algorithm is applied to supervised classification of image content and large-scale data mining, which is very effective.
將CAAR 分類新技術應用於有監督的圖像內容分類學習和大槼模數據機器學習取得了很好的傚果。
Extensive use of various image processing methods, including the supervised classification and the NDVI index, were made to identify the crops and salinity distribution.
利用監督分類、NDVI指數等遙感影像処理方法，在黃河上遊的甯夏青銅峽灌區開展識別作物及土壤鹽堿分佈的應用研究。
While for terrace extraction, supervised classification has better result than unsupervised classification. The difference of total accuracy between two methods based on IKONOS image is more than 12%.
而對於IKONOS影像梯田提取，兩種分類結果精度相差12%以上，監督分類結果明顯優於非監督分類結果。