unsupervised image classification 中文意思是什麼

unsupervised image classification 解釋
未被監視的圖象分類
  • unsupervised : 無監督的
  • 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. 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. 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。
  3. 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與信息處理學科領域中的應用角度對小波理論進行了系統的總結和介紹，分別利用mallat演算法和trous演算法實現了圖象的正交小波變換和冗餘小波變換。
  4. 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。
  5. 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。
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