In this dissertation , we research on some classification methods using polarimetric sar ( polsar ) data 根據(jù)我國sar系統(tǒng)的發(fā)展現(xiàn)狀和sar信息處理技術(shù)的應(yīng)用需求,本文主要針對極化sar數(shù)據(jù)進行了分類方法的研究。
( 5 ) a new classification method based on support vector machine theory and principal component analysis ( pca ) techniques is presented ( 5 )提出了基于主成分分析方法和支持向量機理論的去噪聲加權(quán)svm分類方法。
( 4 ) a new classification method named rough support vector machine is presented in this paper , based on support vector machine and rough set theory ( 4 )提出了基于粗糙集理論和支持向量機理論的粗svm分類方法。
( 6 ) the proposed support vector machine algorithms and classification methods are used in classifying operation state of wastewater treatment processes ( 6 )把支持向量機理論應(yīng)用到污水處理過程運行狀態(tài)監(jiān)控中去。
Forest resource was divided into five basic groups , eighteen types and twelve entity types by using mixed classification method 森林資源信息采用混合分類法分為5個基本類別和18個大類,在此基礎(chǔ)上進一步分成12個實體類。
A text categorization test is conducted to compare our method with other several classification methods , and one will see that ours outperforms them 文本分類的實驗結(jié)果表明,與其它幾個分類算法相比,它具有較高的性能。
The thesis makes steel structure residential building as the object , study technical questions with analogy and classification method 本論文以鋼結(jié)構(gòu)住宅作為研究對象,運用分類和對比的研究方法對該體系進行全面的技術(shù)性研究。
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。
At first , extracting features of chromaticity moments was done , then classification method of svm for recognition of plant disease was discussed 首先利用色度矩提取植物病害葉片的特徵向量,然后利用支持向量機分類方法進行病害的識別。