{"title":"高光谱和发光观测者(HALO)火星任务概念——创新的高光谱成像仪数据分类、压缩、处理和分析","authors":"E. Cloutis, B. Vila, Andrew Bell, M. Lamothe","doi":"10.1109/WHISPERS.2009.5289049","DOIUrl":null,"url":null,"abstract":"The Hyperspectral and Luminescence Observer (HALO) instrument concept, designed to conduct surface mapping of Mars as part of the Mars Sample Return Network (MSRNET) program utilizes a number of innovative elements to allow mapping of surficial geology of large parts of Mars at high spectral and spatial resolution, with wide wavelength and areal coverage, and high SNR. Much of this efficiency is gained through the application of Gaussian spectral deconvolution. This approach, which will be implemented on board the spacecraft, can provide an approximate order of magnitude reduction in data volumes, enable scientifically interesting targets to be identified on the fly, facilitate spectral analysis, and provide physically meaningful spectral parameters.","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":"1","resultStr":"{\"title\":\"Hyperspectral and Luminescence Observer (HALO) Mars mission concept - innovative data triage, compression, processing and analysis for the hyperspectral imager\",\"authors\":\"E. Cloutis, B. Vila, Andrew Bell, M. Lamothe\",\"doi\":\"10.1109/WHISPERS.2009.5289049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Hyperspectral and Luminescence Observer (HALO) instrument concept, designed to conduct surface mapping of Mars as part of the Mars Sample Return Network (MSRNET) program utilizes a number of innovative elements to allow mapping of surficial geology of large parts of Mars at high spectral and spatial resolution, with wide wavelength and areal coverage, and high SNR. Much of this efficiency is gained through the application of Gaussian spectral deconvolution. This approach, which will be implemented on board the spacecraft, can provide an approximate order of magnitude reduction in data volumes, enable scientifically interesting targets to be identified on the fly, facilitate spectral analysis, and provide physically meaningful spectral parameters.\",\"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\":\"1\",\"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.2009.5289049\",\"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.2009.5289049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hyperspectral and Luminescence Observer (HALO) Mars mission concept - innovative data triage, compression, processing and analysis for the hyperspectral imager
The Hyperspectral and Luminescence Observer (HALO) instrument concept, designed to conduct surface mapping of Mars as part of the Mars Sample Return Network (MSRNET) program utilizes a number of innovative elements to allow mapping of surficial geology of large parts of Mars at high spectral and spatial resolution, with wide wavelength and areal coverage, and high SNR. Much of this efficiency is gained through the application of Gaussian spectral deconvolution. This approach, which will be implemented on board the spacecraft, can provide an approximate order of magnitude reduction in data volumes, enable scientifically interesting targets to be identified on the fly, facilitate spectral analysis, and provide physically meaningful spectral parameters.