{"title":"Spectral smile correction in CRISM hyperspectral images","authors":"X. Ceamanos, S. Douté","doi":"10.1109/WHISPERS.2009.5288992","DOIUrl":null,"url":null,"abstract":"The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) is affected by an artifact common to pushbroom sensors: “spectral smile”. As a consequence, both central wavelength and spectral resolution become dependent on the across-track position thus giving rise to a horizontal spatial modulation. The correction of CRISM spectral smile is addressed using a two-step correction. First, data is re-sampled to the so-called “sweet spot” wavelengths. Secondly, the non-uniform spectral response width of the detection elements is overcome by mimicking an increase of resolution thanks to a spectral sharpening. Experiments show remarkable results regarding the decrease of smile energy.","PeriodicalId":242447,"journal":{"name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WHISPERS.2009.5288992","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) is affected by an artifact common to pushbroom sensors: “spectral smile”. As a consequence, both central wavelength and spectral resolution become dependent on the across-track position thus giving rise to a horizontal spatial modulation. The correction of CRISM spectral smile is addressed using a two-step correction. First, data is re-sampled to the so-called “sweet spot” wavelengths. Secondly, the non-uniform spectral response width of the detection elements is overcome by mimicking an increase of resolution thanks to a spectral sharpening. Experiments show remarkable results regarding the decrease of smile energy.