{"title":"一种多级联合双边滤波的泛锐化新方法","authors":"Yu Pan, Xu Li, Lixin Li, Ang Gao, Shigang Yue","doi":"10.1109/ICIEA.2018.8397894","DOIUrl":null,"url":null,"abstract":"Due to the inaccuracy of detail extraction, most of pansharpening methods often suffer from spectral and/or spatial information distortions more or less and produce unsatisfied pansharpened results. To deal with this problem, we present a new pansharpening method using multistage joint bilateral filtering. Our method first separates the multispectral data into intensity and angular components by hyperspherical color transform (HCT). Then the proposed multistage joint bilateral filter is used to capture the different-scale details of both the panchromatic and the intensity images. Specifically, multistage joint bilateral filter performs joint bilateral filtering iteratively while the reference image remains unchanged and the filtering parameters vary progressively. The structure information with different scale is aware and the corresponding spatial details can be effectively extracted. The total spatial details are then combined and injected into the intensity component of the MS imagery. Finally, all the fused MS bands are obtained by the inverse HCT. The experiment is carried out on IKONOS and GeoEye-1 satellite images, respectively. Visual and objective analysis show that our method can produce high-quality pansharpened results and outperform some existing methods.","PeriodicalId":140420,"journal":{"name":"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new pansharpening method using multistage joint bilateral filtering\",\"authors\":\"Yu Pan, Xu Li, Lixin Li, Ang Gao, Shigang Yue\",\"doi\":\"10.1109/ICIEA.2018.8397894\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the inaccuracy of detail extraction, most of pansharpening methods often suffer from spectral and/or spatial information distortions more or less and produce unsatisfied pansharpened results. To deal with this problem, we present a new pansharpening method using multistage joint bilateral filtering. Our method first separates the multispectral data into intensity and angular components by hyperspherical color transform (HCT). Then the proposed multistage joint bilateral filter is used to capture the different-scale details of both the panchromatic and the intensity images. Specifically, multistage joint bilateral filter performs joint bilateral filtering iteratively while the reference image remains unchanged and the filtering parameters vary progressively. The structure information with different scale is aware and the corresponding spatial details can be effectively extracted. The total spatial details are then combined and injected into the intensity component of the MS imagery. Finally, all the fused MS bands are obtained by the inverse HCT. The experiment is carried out on IKONOS and GeoEye-1 satellite images, respectively. Visual and objective analysis show that our method can produce high-quality pansharpened results and outperform some existing methods.\",\"PeriodicalId\":140420,\"journal\":{\"name\":\"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA.2018.8397894\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2018.8397894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
由于图像细节提取的精度不高,大多数的泛锐化方法都存在或多或少的光谱或空间信息失真,导致图像的泛锐化效果不理想。为了解决这一问题,我们提出了一种基于多级联合双边滤波的泛锐化方法。该方法首先利用超球面颜色变换(hypersphere color transform, HCT)将多光谱数据分解为强度分量和角度分量。然后利用多级联合双边滤波器分别捕获全色图像和强度图像的不同尺度细节。具体来说,多级联合双边滤波器在参考图像不变、滤波参数渐进式变化的情况下进行联合双边迭代滤波。感知不同尺度的结构信息,有效提取相应的空间细节。然后将总空间细节组合并注入到MS图像的强度分量中。最后,通过逆HCT得到所有融合谱带。实验分别在IKONOS和GeoEye-1卫星图像上进行。视觉和客观分析表明,该方法可以产生高质量的pansharpening结果,并且优于现有的一些方法。
A new pansharpening method using multistage joint bilateral filtering
Due to the inaccuracy of detail extraction, most of pansharpening methods often suffer from spectral and/or spatial information distortions more or less and produce unsatisfied pansharpened results. To deal with this problem, we present a new pansharpening method using multistage joint bilateral filtering. Our method first separates the multispectral data into intensity and angular components by hyperspherical color transform (HCT). Then the proposed multistage joint bilateral filter is used to capture the different-scale details of both the panchromatic and the intensity images. Specifically, multistage joint bilateral filter performs joint bilateral filtering iteratively while the reference image remains unchanged and the filtering parameters vary progressively. The structure information with different scale is aware and the corresponding spatial details can be effectively extracted. The total spatial details are then combined and injected into the intensity component of the MS imagery. Finally, all the fused MS bands are obtained by the inverse HCT. The experiment is carried out on IKONOS and GeoEye-1 satellite images, respectively. Visual and objective analysis show that our method can produce high-quality pansharpened results and outperform some existing methods.