supervised classification 中文意思是什麼

supervised classification 解釋
監督分類法
  • supervised : 有監督的
  • 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 establishes a ecological transect, with a length of 90 km and width of 16 km, utilizing the part of tm data on 16th august 1998, from harbin to the natural secondary forests in maoershan, heilongjiang province. with supervised classification, the tm data which had been corrected and enhanced via erdas, combining the data of gps in the field, was classified by seven types including : residential area, glebe, paddy field

    本論文利用1998年8月16日的tm衛星數據的一部分，設置從黑龍江省哈爾濱市到帽兒山天然次生林區，長90km ，寬16km的生態研究樣帶。通過用erdas對衛星數據的校正、圖像增強等處理，結合gps野外實地調查數據，進行有監督分類。共分為7種類型：居民點、旱田、水田、河流、灌叢、闊葉林、針葉林，並建立了衛星影像分類解譯標志。
  2. The details are as follows : firstly, in order to extract audio / visual middle level features, we adopt supervised audio classification and unsupervised scene clustering to satisfy the requirement of generality. the audio is robust and supervised audio classification is general in the same type sports video

    具體來說本文的工作可以分為以下幾點:首先，在體育視頻中層特徵提取上，本文採用了有監督的音頻分類和無監督的場景聚類以適應通用性要求。
  3. 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。
  4. An attribute means clustering binary tree is presented in this paper. the binary tree is extends naturally and turns to be a supervised classification method. the orl database is used to evaluate the proposed method. the performance of the attribute means clustering binary tree used in face recognition is compared with the standard eigenface approach and improves their performance much in the experiment

    在無監督的屬性聚類網路的基礎上，提出了一種二叉樹分類方法。此二叉樹自然地在無監督聚類的基礎上擴展開來，成為一有監督的分類方法。用orl人臉數據庫做了測試，同標準的特徵臉eigenface方法相比，識別率得到了較大的提高。
  5. Studies on the purification of training samples in supervised classification by mode filtering

    利用眾數濾波對監督分類訓練樣本純化的研究
  6. Classification is a sort of supervised learning ( i. e., the learning of the model is " supervised " in that it is told to which class each training sample belongs )

    需要指出的是：分類是一種有指導的學習（即模型的學習在被告知每個訓練樣本屬于哪個類的「指導」下進行） 。
  7. The main factors of probabilistic neural network including the hidden neuron size, hidden central vector and the smoothing parameter, to influence the pnn classification, are analyzed ; the xor problem is implemented by using pnn. a new supervised learning algorithm for the pnn is developed : the learning vector quantization is employed to group training samples and the genetic algorithms ( ga ’ s ) is used for training the network ’ s smoothing parameters and hidden central vector for determining hidden neurons. simulations results show that, the advantage of our method in the classification accuracy is over other unsupervised learning algorithms for pnn

    本文主要分析了pnn隱層神經元個數，隱中心矢量，平滑參數等要素對網路分類效果的影響，並用pnn實現了異或邏輯問題;提出了一種新的pnn有監督學習演算法:用學習矢量量化對各類訓練樣本進行聚類，對平滑參數和距離各類模式中心最近的聚類點構造區域，並採用遺傳演算法在構造的區域內訓練網路，實驗表明:該演算法在分類效果上優于其它pnn學習演算法
  8. Semi - supervised support vector machines for data classification

    基於半監督支持向量機的數據分類
  9. The algorithms of text classification are supervised, which means the classifier training need some human labeled data of fixed classes. generally, the accuracy of classifier is higher with more labeled data. but the labeled data by hand are expensive resource

    文本分類演算法是有監督的學習演算法，它需要一個分類好的，類別已標識的文本數據集訓練分類器，然後用訓練好的分類器對未標識類別的文本分類。
  10. 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。
  11. The result indicates that the precision of msavi method is 79. 6 %, higher than that of supervised classification and unsupervised classification. such precision is able to meet the requirement of monitoring on grassland desertification at large scale based remote sensing data. all the study is based on tm images on 11th august 1987 and 9th august 2001. the grassland desertification in the middle part of naiman of inner mongolia was taken as a detailed case study to discuss the discipline and driving forces of the dynamic of the grassland desertification during two periods

    採用上述研究方法，利用1987年8月11日和2001年8月9日兩時相的tm數據，對奈曼旗中部十個鄉鎮的草地沙化動態進行了分析，結果表明研究區草地嚴重沙化的總體趨勢得到控制，並且開始逆轉，生態環境建設已經產生了成效，但還存在著局部的惡化趨勢，草地沙化發展與逆轉並存，草地沙化防治的形勢依然嚴峻。
  12. 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。
  13. Supported by the analysis and advance process to the geographical data using gis software, the paper discusses the question that whether the accuracy of bayes supervised classification will be improved considering the influence of the prior probability

    本文嘗試利用gis軟體對地理數據進行分析和預處理，對考慮先驗概率是否提高bayes監督分類精度這一問題作了探討。
  14. 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。
  15. Taken the northern slopes of the tianshan mountains as the research area, the multi - source remote sensing data were applied to investigate and classify in rangeland resources types based on supervised classification method ( mlc ) combined with " 3s " technical platform

    摘要利用多源遙感數據和" 3s "技術平臺，採用監督分類法對天山北坡山體垂直帶內草地資源進行分類並獲取資源分佈格局圖，探討多源遙感數據在草地資源類型分類中的應用程度和發展前景。
  16. Supervised image classification

    受監視的圖象分類
  17. Supervised learning with the use of regression and classification networks with sparse data sets will be explored

    也將在課程中以帶有稀疏值理論的分類神經網路與回歸的使用來探討監督式學習。
  18. In view of whether it has the stationary class system. it can be divided into supervised automated classification and unsupervised automated clustering

    根據是否有固定的類別體系可分為有監督（ supervised ）的自動歸類和無監督（ unsupervised ）的自動聚類。
  19. The other is that when the extending areas of the samples overcross, wrong classification of the samples will occur. as for the first problem a genetic algorithm is used to improve the process of the best parameters " finding. and as for the latter a kind of improved hamming net which uses supervised and unsupervised learning method is employed

    針對模糊hamming網路在應用中存在的參數調整效率低下以及難以保證參數最優的問題，提出了應用遺傳演算法進行參數調整的改進方法；針對該網路在樣本離散范圍發生交疊情況下導致歸類錯誤的問題，研究了對于不同模式採用不同的警戒參數的有監督無監督混合學習的改進演算法。
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