{"title":"CRISM高光谱图像的光谱微笑校正","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":"{\"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}","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}
Spectral smile correction in CRISM hyperspectral images
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.