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unsupervised classification in Chinese

Pronunciation:
How to pronounce "unsupervised classification""unsupervised classification" in a sentence

Translationmobile phoneMobile

  • 非監(jiān)督分類
  • 無(wú)監(jiān)督的分類
  • 無(wú)監(jiān)督分類法

Examples

  • Besides , we study an unsupervised classification method based on polar decomposition
    我們接著研究了基于極化分解的非監(jiān)督分類方法。
  • In this dissertation , we study an unsupervised classification method based on fuzzy set theory
    我們首先研究了基于模糊集理論的非監(jiān)督分類方法。
  • 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(shù)據(jù)極化信息的利用和基于模糊集理論的非監(jiān)督分類方法的結(jié)合。
  • 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(shí)驗(yàn)結(jié)果表明基于bdset和fdset融合的分類方法比傳統(tǒng)的非監(jiān)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。
  • 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
    最后，還介紹了基于主成分分析( pca )的多光譜圖象融合方法以及非監(jiān)督分類的方法，并實(shí)現(xiàn)了基于非監(jiān)督分類的多光譜圖象融合算法。
  • 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(duì)濾波后圖像進(jìn)行非線性處理，以加大不同類之間特征的差異，給出了計(jì)算圖像gabor小波能量特征的計(jì)算方法，該能量特征作為無(wú)監(jiān)督分類器的輸入向量。
  • Based on unsupervised classification , improve the original kononen neural network ( knn ) by modifying learning rate and kernel function . and developed two fusion rules based on the magnitude of providing recognition information of each information sources
    1 )改進(jìn)基本的kohonen神經(jīng)網(wǎng)絡(luò)( knn )學(xué)習(xí)率和核函數(shù)，并針對(duì)每個(gè)信息源對(duì)最終識(shí)別貢獻(xiàn)的大小，提出加權(quán)與不加權(quán)兩種融合規(guī)則。
  • 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(xiàng)研究篩選出了構(gòu)成運(yùn)行化作物遙感識(shí)別技術(shù)體系的一系列數(shù)據(jù)復(fù)合分析方法，包括gps 、 gis數(shù)據(jù)以及其它田間作業(yè)信息與rs數(shù)據(jù)之間的復(fù)合，確立解譯標(biāo)志和劃分作業(yè)區(qū)； rs數(shù)據(jù)之間的復(fù)合，進(jìn)行圖像增強(qiáng)，改善非監(jiān)督分類效果； gis數(shù)據(jù)之間的復(fù)合，分析作業(yè)區(qū)作物結(jié)構(gòu)、物候和耕作制度現(xiàn)狀，地圖拼接、特征提取等。
  • In this paper , theories about wavelet analysis and image fusion are reviewed and remote - sensing image fusion is realized using wavelet analysis and unsupervised classification . first , wavelet transform theories are systematically reviewed and summarized from the point of view of signal and information processing
    本文首先從小波理論在信號(hào)與信息處理學(xué)科領(lǐng)域中的應(yīng)用角度對(duì)小波理論進(jìn)行了系統(tǒng)的總結(jié)和介紹，分別利用mallat算法和trous算法實(shí)現(xiàn)了圖象的正交小波變換和冗余小波變換。
  • More examples：  1  2
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