{"title":"Application of PCA Numalgorithm in Remote Sensing Image Processing","authors":"Hong Dai","doi":"10.26549/met.v7i1.12317","DOIUrl":null,"url":null,"abstract":"A numerical algorithm of principal component analysis (PCA) is proposed and its application in remote sensing image processing is introduced:(1) Multispectral image compression; (2) Multi-spectral image noise cancellation; (3) Information fusion of multi-spectral images and spot panchromatic images. The software experiments verify and evaluate the effectiveness and accuracy of the proposed algorithm.","PeriodicalId":66865,"journal":{"name":"现代电子技术(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"现代电子技术(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.26549/met.v7i1.12317","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A numerical algorithm of principal component analysis (PCA) is proposed and its application in remote sensing image processing is introduced:(1) Multispectral image compression; (2) Multi-spectral image noise cancellation; (3) Information fusion of multi-spectral images and spot panchromatic images. The software experiments verify and evaluate the effectiveness and accuracy of the proposed algorithm.
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