{"title":"Analysis of the Multispectral and SAR Image","authors":"Shuchun Zhang, Yun Zhang, Yongbin Chou, Ziheng Wang, Yifu Shi, Zhenyu Sun","doi":"10.1109/ICCCS52626.2021.9449213","DOIUrl":null,"url":null,"abstract":"The SAR image and the multispectral image are both used for dynamic monitoring, mineral resources investigation, urban and rural monitoring and evaluation, traffic network exploration, forest resources investigation, desertification monitoring, and so on. The multi-spectral and SAR image fusion to improve the classify quality is discussed in this paper, compared the common fusion algorithms of the SAR image and multi spectral images, that is standard color transform (Brovey) method, phase recovery (Gram-Schmidt) method and color space transform (HSV) method, principal component transformation super resolution (PCA) method and Bias method (Pansharp), by which the fused image is more relative with the multi-spectral and SAR.","PeriodicalId":376290,"journal":{"name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCS52626.2021.9449213","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
The SAR image and the multispectral image are both used for dynamic monitoring, mineral resources investigation, urban and rural monitoring and evaluation, traffic network exploration, forest resources investigation, desertification monitoring, and so on. The multi-spectral and SAR image fusion to improve the classify quality is discussed in this paper, compared the common fusion algorithms of the SAR image and multi spectral images, that is standard color transform (Brovey) method, phase recovery (Gram-Schmidt) method and color space transform (HSV) method, principal component transformation super resolution (PCA) method and Bias method (Pansharp), by which the fused image is more relative with the multi-spectral and SAR.
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