{"title":"计算光谱学的光学阵列方面","authors":"R. Hoctor, F. Wheeler, E. Barrett","doi":"10.1109/SAM.2006.1706105","DOIUrl":null,"url":null,"abstract":"Computed spectroscopytrade (CS) is a new approach to hyperspectral imaging recently introduced by the authors (R.T. Hoctor et al., 2006). The CS technique uses an adjustable optical array, which can be considered to be a form of delay-and-sum passive beamformer. Adopting this point of view, such an array can be analyzed using the (difference) coarray (R.T. Hoctor and S.A. Kassam, 1990), and a previous publication by the present authors (R.T. Hoctor et al., 2006) features a brief coarray-based analysis. In the present paper we review the computed spectroscopy method, give a coarray-based analysis of the approach, show how numerical problems arise in the reconstruction of wavenumber spectra at low spatial frequencies and give a method for addressing these problems in the computation. Additionally, we discuss an improved approach to discretization of the image formation model","PeriodicalId":272327,"journal":{"name":"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optical Array Aspects of Computed Spectroscopy\",\"authors\":\"R. Hoctor, F. Wheeler, E. Barrett\",\"doi\":\"10.1109/SAM.2006.1706105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computed spectroscopytrade (CS) is a new approach to hyperspectral imaging recently introduced by the authors (R.T. Hoctor et al., 2006). The CS technique uses an adjustable optical array, which can be considered to be a form of delay-and-sum passive beamformer. Adopting this point of view, such an array can be analyzed using the (difference) coarray (R.T. Hoctor and S.A. Kassam, 1990), and a previous publication by the present authors (R.T. Hoctor et al., 2006) features a brief coarray-based analysis. In the present paper we review the computed spectroscopy method, give a coarray-based analysis of the approach, show how numerical problems arise in the reconstruction of wavenumber spectra at low spatial frequencies and give a method for addressing these problems in the computation. Additionally, we discuss an improved approach to discretization of the image formation model\",\"PeriodicalId\":272327,\"journal\":{\"name\":\"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAM.2006.1706105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAM.2006.1706105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computed spectroscopytrade (CS) is a new approach to hyperspectral imaging recently introduced by the authors (R.T. Hoctor et al., 2006). The CS technique uses an adjustable optical array, which can be considered to be a form of delay-and-sum passive beamformer. Adopting this point of view, such an array can be analyzed using the (difference) coarray (R.T. Hoctor and S.A. Kassam, 1990), and a previous publication by the present authors (R.T. Hoctor et al., 2006) features a brief coarray-based analysis. In the present paper we review the computed spectroscopy method, give a coarray-based analysis of the approach, show how numerical problems arise in the reconstruction of wavenumber spectra at low spatial frequencies and give a method for addressing these problems in the computation. Additionally, we discuss an improved approach to discretization of the image formation model