Guorui Jia, Huijie Zhao, Dongxing Tao, Kewang Deng
{"title":"Inversing reflectance of higher resolution from hyperspectral radiance data based on spectral super-resolution","authors":"Guorui Jia, Huijie Zhao, Dongxing Tao, Kewang Deng","doi":"10.1109/WHISPERS.2014.8077618","DOIUrl":null,"url":null,"abstract":"To promote cross-calibration or information extraction involving hyperspectral reflectance data from different sources, a method for restoring reflectance of a higher spectral resolution from hyperspectral radiance data is proposed. It involves three steps: spectral super-resolution of radiance data, transformation to the higher resolution of interest, and radiative-transfer-model-based atmospheric correction. The spectral resolution of the super-resolved radiance and the spectral response model of the restored reflectance were analyzed. The restored reflectance matches the library spectrum better than the directly inversed and the interpolated reflectance spectra in the validation experiment based on HyMap data and USGS spectral library. This method is theoretically applicable to get reflectance of a relative lower spectral resolution as well.","PeriodicalId":377495,"journal":{"name":"Workshop on Hyperspectral Image and Signal Processing","volume":"47 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Hyperspectral Image and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WHISPERS.2014.8077618","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
To promote cross-calibration or information extraction involving hyperspectral reflectance data from different sources, a method for restoring reflectance of a higher spectral resolution from hyperspectral radiance data is proposed. It involves three steps: spectral super-resolution of radiance data, transformation to the higher resolution of interest, and radiative-transfer-model-based atmospheric correction. The spectral resolution of the super-resolved radiance and the spectral response model of the restored reflectance were analyzed. The restored reflectance matches the library spectrum better than the directly inversed and the interpolated reflectance spectra in the validation experiment based on HyMap data and USGS spectral library. This method is theoretically applicable to get reflectance of a relative lower spectral resolution as well.