監督分類 的英文怎麼說

中文拼音 [jiāndūfēnlèi]
監督分類 英文
supervised classification
  • 監 : 監名詞1. （古代官府名） an imperial office 2. （姓氏） a surname
  • 督 : Ⅰ動詞（監督指揮） superintend and direct Ⅱ名詞（姓氏） a surname
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 類 : Ⅰ名1 （許多相似或相同的事物的綜合; 種類） class; category; kind; type 2 （姓氏） a surname Ⅱ動詞...
  • 監督 : 1 （察看並督促） supervise; superintend; control; monitoring; supervision 2 （監督人） supervisor...
  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 vegetation type was classified in the east transect by unsupervised classification using the data ( ikmx 1km ) from noaa meteorology satellite from 1995 - 1996, and the article analyzed the change of ndvi of all kinds of vegetation types, in the same time analyzed the forest dynamics in typical ecotone ( warm temperate zone to semitropical in qinling woods ) using the higher spatial resolution tm data

    本論文利用1995 - 1996年noaa氣象衛星的ndvi （ 1km 1km ）數據，採用無監督分類方法對中國東部樣帶南方部分進行植被類型的劃分，分析各植被類型的ndvi變化情況；並利用較高精度的tm數據分析典型交錯區域（暖溫帶到亞熱帶的秦嶺林區）的森林動態變化情況。
  3. 3 ) k - mean clustering algorithm is used classification. the category is two, according to the object and the experience knowledge

    3 ）應用無監督分類演算法中k均值（ k - means ）聚類演算法對輸入特徵向量進行分類。
  4. A series methods of data combination analyzing are selected to form the operating method system for crop discrimination. combining gis, gps, and other data from field work with rs data can determine interpretation features and set off working regions, combining rs data can enhance spatial features in order to do unsupervised classification efficiently, union of gis data enable us to join maps and extract features, to analyze crop structure, crop calendar, cultivating system

    本項研究篩選出了構成運行化作物遙感識別技術體系的一系列數據復合分析方法，包括gps 、 gis數據以及其它田間作業信息與rs數據之間的復合，確立解譯標志和劃分作業區； rs數據之間的復合，進行圖像增強，改善非監督分類效果； gis數據之間的復合，分析作業區作物結構、物候和耕作制度現狀，地圖拼接、特徵提取等。
  5. Clustering, which is used to differ and classify the things according to their comparability, is a process in which there is no one to guide them. so it is a non - supervising classifying

    聚類就是按照事物間的相似性進行區分和分類的過程，在這一過程中沒有教師指導，因此是一種無監督分類。
  6. 2 ) to increase the difference, the non - linear transform function is used. the each pixel is computed by the average of a window ' s energy, which is gabor wavelets energy and the input feature vector of unsupervised classification

    2 ）對濾波后圖像進行非線性處理，以加大不同類之間特徵的差異，給出了計算圖像gabor小波能量特徵的計算方法，該能量特徵作為無監督分類器的輸入向量。
  7. 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。
  8. 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
  9. Besides, we study an unsupervised classification method based on polar decomposition

    我們接著研究了基於極化分解的非監督分類方法。
  10. In this dissertation, we study an unsupervised classification method based on fuzzy set theory

    我們首先研究了基於模糊集理論的非監督分類方法。
  11. This method is a combination of the usage of polarimetric information of polsar data and the unsupervised classification method based on fuzzy set theory

    該方法是原始sar數據極化信息的利用和基於模糊集理論的非監督分類方法的結合。
  12. In this dissertation, we study some unsupervised classification methods through three aspects, such as preprocessing, the selection of classifier and feature extracting

    為了得到更快速、更準確的分類結果，本文圍繞預處理、分類器的選擇和特徵提取等問題研究了一些非監督分類方法。
  13. The experimental results show that these two classification methods of multi - sources information fusion can result in better accuracy than that of conventional unsupervised classification method

    實驗結果表明基於bdset和fdset融合的分類方法比傳統的非監督分類方法具有更好的分類效果，有效地提高了分類的精度。
  14. In the end, multispectral image fusion algorithms based on principal component analysis and clustering algorithms are introduced. multispectral image fusion based on unsupervised classification is realized

    最後，還介紹了基於主成分分析（ pca ）的多光譜圖象融合方法以及非監督分類的方法，並實現了基於非監督分類的多光譜圖象融合演算法。
  15. 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。
  16. This method is a combination of the polar decomposition and the

    該方法是ica和基於模糊集理論的非監督分類方法的結合。
  17. 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。
  18. 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。
  19. 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。
  20. 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。
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