supervised image classification 中文意思是什麼

supervised image classification 解釋
受監視的圖象分類
  • supervised : 有監督的
  • image : n 1 像，肖像，畫像；偶像。2 影像，圖像。3 相像的人（或物）；翻版。4 形像，典型。5 形像化的描繪。6...
  • classification : n 1 選別；分等，分級；分選。2 【動、植】分類（法）。 〈分類級別為： phylum 【動物；動物學】及 div...
  1. The paper has made detailed observation by the existing apparatus and the field observation stations. based on the image and the vector database of the yutian oasis, the study has obtained the precise coordinates of investigation points by gps technique, and overlapped them with the images. after classifying the images with the maximum likelihood supervised classification method, we import the result into cis software, and analyze the yutian oasis changes about land cover " s quantity, quality and spatial position from 1976 to 2001

    本文利用現有儀器設備和野外觀測網站進行詳細觀測，在建立於田綠洲圖像庫和矢量數據庫的基礎上，運用gps技術取得野外考察樣點的精確坐標並與研究區各時期影像疊加，對影像進行了最大似然法監督分類，並將分類結果轉入gis軟體處理，全面分析了1976年至2001年該綠洲的土地覆蓋類型數量、質量與空間上的變化。
  2. It is discovered that the correlation between msavi ( modified soil adjusted vegetation index ) and vegetation coverage is higher than that between ndvi ( normalized differential vegetation index ) and grassland coverage when the land cover is low. so msavi can be used as the main index of grassland desertification degree. in order to evaluate the precision of the result, different methods such as supervised classification, unsupervised classification and visual interpretation on image are tried respectively

    本文將其作為草地沙化的分級指標，直接通過計算分級，建立msavi等級與草地沙化程度的對應關系，確定草地沙化的程度，然後將msavl分類結果分別與目視解譯、監督、非監督分類的結果進行了精度比較，其精度高於監督與非監督分類，與典型區現場繪制和目視解譯結果的誤差為5 . 9 ，能滿足草地沙化監測實際應用要求。
  3. The image of nanchuan in 2000 was interpreted using a multi - extracting method combining supervised classification with non - supervised classification

    利用監督分類和非監督分類相結合的分層提取分類方法對南川市2000年遙感影像進行解譯。
  4. The proportion based on the assistant data is used as the prior probability to replace the prior value in the conventional supervised classification ; the farther iterative prior probability is applied into classifying progress on landsat tm image

    由輔助數據中計算各類別面積比率作為先驗概率，替換傳統監督分類中的先驗值，並進一步對先驗概率進行迭代，最後利用改進的先驗概率對landsattm影像進行分類實驗。
  5. Supervised image classification

    受監視的圖象分類
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