K. Creath, V. Lakshminarayanan, L. Schweikert, Joseph A. Shaw, B. Vohnsen
{"title":"Panel Discussion on Light in Nature","authors":"K. Creath, V. Lakshminarayanan, L. Schweikert, Joseph A. Shaw, B. Vohnsen","doi":"10.1117/12.2606913","DOIUrl":"https://doi.org/10.1117/12.2606913","url":null,"abstract":"","PeriodicalId":178662,"journal":{"name":"Polarization Science and Remote Sensing X","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133747549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine learning based adaptive channel filter in multi-domain modulated polarimeter","authors":"Jiawei Song, Andrey S. Alenin, J. Tyo, Qiwei Li","doi":"10.1117/12.2596149","DOIUrl":"https://doi.org/10.1117/12.2596149","url":null,"abstract":"","PeriodicalId":178662,"journal":{"name":"Polarization Science and Remote Sensing X","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122219026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The bidirectional reflectance distribution function (BRDF) of surfaces has deleterious effects on optical measurements. Collecting Mueller matrix BRDF (mmBRDF) measurements of a surface by conventional goniometric techniques can be time-consuming. We present a system for collecting mmBRDF measurements using optical fiber detectors that sample the hemisphere surrounding an object. The entrance to each fiber contains a polarization state analyzer (PSA) configuration which allows for the simultaneous acquisition of the Stokes vector at many altitudinal and azimuthal viewing positions. We describe the setup, calibration, and data processing for this system and present its performance as applied to mmBRDF measurements of maize leaves.
{"title":"Mueller matrix BRDF measurements using random sampling and fiber-coupled detectors","authors":"Clifton G. Scarboro, M. Kudenov","doi":"10.1117/12.2593990","DOIUrl":"https://doi.org/10.1117/12.2593990","url":null,"abstract":"The bidirectional reflectance distribution function (BRDF) of surfaces has deleterious effects on optical measurements. Collecting Mueller matrix BRDF (mmBRDF) measurements of a surface by conventional goniometric techniques can be time-consuming. We present a system for collecting mmBRDF measurements using optical fiber detectors that sample the hemisphere surrounding an object. The entrance to each fiber contains a polarization state analyzer (PSA) configuration which allows for the simultaneous acquisition of the Stokes vector at many altitudinal and azimuthal viewing positions. We describe the setup, calibration, and data processing for this system and present its performance as applied to mmBRDF measurements of maize leaves.","PeriodicalId":178662,"journal":{"name":"Polarization Science and Remote Sensing X","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115982122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The complete Mueller polarimetry is particularly promising optical technique for the fast and non-contact characterization of complex media (e. g. layered, periodical, scattering, anisotropic and absorbing) as it provides information about all polarimetric properties of an object under study (diattenuation, birefringence, depolarization) and allows to characterize its scattering and absorption properties, surface topography and composition. We will present the results of our modeling and experimental studies in the domains of optical metrology, remote sensing and optical tissue diagnosis using number of custom-built Mueller polarimeters operating in both spectral and imaging modes and discuss further potential applications of Mueller polarimetry.
{"title":"Spectral and imaging Mueller polarimetry for the metrology, sensing, and biomedical diagnosis","authors":"T. Novikova","doi":"10.1117/12.2598933","DOIUrl":"https://doi.org/10.1117/12.2598933","url":null,"abstract":"The complete Mueller polarimetry is particularly promising optical technique for the fast and non-contact characterization of complex media (e. g. layered, periodical, scattering, anisotropic and absorbing) as it provides information about all polarimetric properties of an object under study (diattenuation, birefringence, depolarization) and allows to characterize its scattering and absorption properties, surface topography and composition. We will present the results of our modeling and experimental studies in the domains of optical metrology, remote sensing and optical tissue diagnosis using number of custom-built Mueller polarimeters operating in both spectral and imaging modes and discuss further potential applications of Mueller polarimetry.","PeriodicalId":178662,"journal":{"name":"Polarization Science and Remote Sensing X","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124020745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recent research in developing methods for visualizing polarimetric images are implemented in Python modules now available in public repository. In addition to implementing the set of current visualization typically used for polarimetric imaging, the recently developed methods that are implemented involve depicting polarimetric variables using color coordinates from a uniform color space. These methods can be used both linear and circular polarization, and can be used to depict one, two, or three polarimetric variables in a single image. Collaboration on Github is encouraged for implementing new ideas as well as translating the modules into other programming languages.
{"title":"Vispol: Open-source software modules for polarimetric imaging visualizations","authors":"Andrew W. Kruse","doi":"10.1117/12.2596223","DOIUrl":"https://doi.org/10.1117/12.2596223","url":null,"abstract":"Recent research in developing methods for visualizing polarimetric images are implemented in Python modules now available in public repository. In addition to implementing the set of current visualization typically used for polarimetric imaging, the recently developed methods that are implemented involve depicting polarimetric variables using color coordinates from a uniform color space. These methods can be used both linear and circular polarization, and can be used to depict one, two, or three polarimetric variables in a single image. Collaboration on Github is encouraged for implementing new ideas as well as translating the modules into other programming languages.","PeriodicalId":178662,"journal":{"name":"Polarization Science and Remote Sensing X","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131328264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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