監督分類法 的英文怎麼說

中文拼音 [jiāndūfēnlèifǎ]
監督分類法 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...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 監督 : 1 （察看並督促） supervise; superintend; control; monitoring; supervision 2 （監督人） supervisor...
  1. In this paper, we made an investigation into texture feature extraction and classification based on statistic method and its application in multi - spectral image classification. the research works of this paper have been done as follows : firstly, in order to overcome the weakness of gray level co - occurrence matrix ( glcm ), a new unsupervised texture segment algorithm, based on multi - resolution model, is presented in this thesis

    本文主要研究了基於紋理統計特性的特徵提取與分割方法，並將其用於實際的多光譜圖像分類，具體工作如下:第一，針對傳統灰度共現陣方法中特徵提取的尺度單一問題，本文提出了一種多分辨無監督紋理分割演算法。
  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. Based on unsupervised learning, sparse coding is suitable to describe images with non - gaussian distribution and can get rid of the high order redundancy among the image pixels. since the basis function of sparse coding has build - in clustering property, it increases the inter - class variations of the features

    稀疏編碼是一種基於非監督學習的演算法，它適合描述具有非高斯分佈的數據對象，能夠有效地消除圖像象素點之間的冗餘，並具有內在的聚類特性。
  4. 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。
  5. 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。
  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. 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。
  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. 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。
  16. 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。
  17. 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。
  18. Envi, a software that can deal with remote sensing image, was used to process tm image. according to the investigation on the spot, the grassland taxonomy of our country and the criterion of estimating environment quality, the vegetative cover in the source area of the yellow river was classified as five kind in this thesis

    本文利用envi遙感圖像處理軟體加工處理的tm衛星影像，根據實地調查，按全國草地調查統一分類法，結合生態環境質量評價標準，本文將黃河源區植被覆蓋劃分為5個等級，並採用非監督分類法對黃河源區tm影像進行分類。
  19. And then the paper describes em - mrf iterative algorithm and its realization for the parameter estimation in unsupervised image classiifcation process. the em - mrf - based image classification strategy is introduced into multisensor feature - level image fusion, distributed and centric based fusion methods are proposed. finally, simulated results through sythetic and real remotely sensed image illustrate the effectiveness and advantage of the proposed methods

    針對遙感圖像非監督分類中的參數估計問題，重點討論了em - mrf迭代演算法的原理和實現，並將em - mrf迭代演算法引入到多源遙感圖像融合的過程中，提出了兩種分別基於集中式融合模型和分散式融合模型的圖像融合方法。
  20. By using the supervised to classify land use type of this district, from 1982 to 1992 to 2001, it was discovered the forest areas reducing

    採用監督分類方法對研究區土地利用類型進行分類，發現從析， 1982 - 2001年林地面積呈明顯減少趨勢。
分享友人
分享到 Line

分享到臉書