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Lett."],"published-print":{"date-parts":[[2020,2,1]]},"abstract":"<jats:p>\n                    In this Letter, we present a snapshot hyperspectral light field imaging system using a single camera. By integrating an unfocused light field camera with a snapshot hyperspectral imager, the image mapping spectrometer, we captured a five-dimensional (5D) (\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\">\n                        <mml:mi>x<\/mml:mi>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:mi>y<\/mml:mi>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:mi>u<\/mml:mi>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:mi>v<\/mml:mi>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:mi>\n                          \u03bb\n                          \n                        <\/mml:mi>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    ) (\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\">\n                        <mml:mi>x<\/mml:mi>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:mi>y<\/mml:mi>\n                        <mml:mo>,<\/mml:mo>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    spatial coordinates;\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\">\n                        <mml:mi>u<\/mml:mi>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:mi>v<\/mml:mi>\n                        <mml:mo>,<\/mml:mo>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    emittance angles;\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\">\n                        <mml:mi>\n                          \u03bb\n                          \n                        <\/mml:mi>\n                        <mml:mo>,<\/mml:mo>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    wavelength) datacube in a single camera exposure. The corresponding volumetric image (\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\">\n                        <mml:mi>x<\/mml:mi>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:mi>y<\/mml:mi>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:mi>z<\/mml:mi>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    ) at each wavelength is then computed through a scale-depth space transform. We demonstrated the snapshot advantage of our system by imaging the spectral-volumetric scenes in real time.\n                  <\/jats:p>","DOI":"10.1364\/ol.382088","type":"journal-article","created":{"date-parts":[[2019,12,4]],"date-time":"2019-12-04T14:57:06Z","timestamp":1575471426000},"page":"772","update-policy":"https:\/\/doi.org\/10.1364\/crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Snapshot hyperspectral light field imaging using image mapping spectrometry"],"prefix":"10.1364","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5912-3625","authenticated-orcid":true,"given":"Qi","family":"Cui","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jongchan","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R.","family":"Theodore Smith","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"285","published-online":{"date-parts":[[2020,1,31]]},"reference":[{"key":"ol-45-3-772-R1","first-page":"3","volume-title":"Computational Models of Visual Processing","author":"Adelson","year":"1991"},{"key":"ol-45-3-772-R2","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1038\/nmeth.2964","volume":"11","author":"Prevedel","year":"2014","journal-title":"Nat. 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