multispectral classification 中文意思是什麼
multispectral classification
解釋
多光譜分類法- multispectral : 多光譜的
- 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...
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3 wang l, healey g. using zernike moments for the illumination andgeometry invariant classification of multispectral texture. ieeetrans. image processing
三維紋理的光照不變性識別通過構建zernike矩不變因子矩陣，然後利用奇異值分解方法來計算區分因子解決。 -
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。 -
In this paper, i establish a set of updating the basic land - use map technology and flow after i go deep into studying the methods of updating the basic land - use map based on 3s technology. it is very important point that i bring forward some methods of change information automatic detected founding on land - use map unit, cross correlation analysis with multispectral image and object - oriented classification aiming at difference data and difficult identifying change information problems. and then, i compile the programme and practise validating to examine technics flow
本文在深入研究了基於3s技術更新土地利用圖件的方法基礎上，從實用化的角度出發，建立了一套利用3s技術更新土地利用基礎圖件的技術流程與方法，並針對不同的數據情況和變化信息自動提取等問題提出了基於土地利用圖斑單元的知識庫變化信息自動發現方法、多波段遙感影像交叉相關分析變化識別方法及面向對象的遙感影像分類變化檢測方法。 -
The theories and methods for high dimensional multispectral data classification with limited training samples are studied, which are parts of important research contents of national 863 hi - tech, 973 project and ministry of education phd fund
結合國家863計劃項目、國防973項目和教育部博士點基金項目，研究了有限樣本下基於機器學習的高維多光譜數據分類問題。 -
In this thesis, several issues concerning the machine learning and the classification of high dimensional multispectral data with limited training samples are addressed, which are based on statistic learning theory ( slt ), support vector machine ( svm ) and artificial neural networks ( ann ). the mai n work and results are outlined as follows : 1. the characteristics of high dimensional multispectral data are studied, and the difficulties that deteriorate the performance of the traditional pattern classification algorithms are carefully analyzed
以統計學習理論（ statisticlearningtheory ? slt ） 、支持向量機（ supportvectormachine ? svm ）和人工神經網路（ artificialneuralnetworks ? ann ）為基礎，本文開展了以下幾個方面的研究工作：深入分析了高維多光譜數據的特點和傳統模式分類方法在高維多光譜數據分類中面臨的困難。
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