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In contrast to other state-of-the-art DIAL methods, we do not make a single scattering assumption but rather propose a new type modality which includes the collection of multiply scattered photons from wider\/multiple fields-of-view and argue that this data, paired with a time dependent radiative transfer model, is beneficial for the reconstruction of certain image features. The resulting inverse problem is solved by means of a semiparametric approach in which the image is reduced to a small number of dispersion related parameters and high-dimensional but computationally convenient nuisance component. This not only allows us to effectively avoid a high-dimensional inverse problem but simultaneously provides a natural regularization mechanism along with parameters which are directly related to the dispersion model. These can be associated with meaningful physical units while spatial concentration profiles can be obtained by means of forward evaluation of the dispersion process.<\/jats:p>","DOI":"10.1137\/23m1598404","type":"journal-article","created":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T12:16:53Z","timestamp":1720786613000},"page":"1467-1510","source":"Crossref","is-referenced-by-count":0,"title":["Imaging of Atmospheric Dispersion Processes with Differential Absorption Lidar"],"prefix":"10.1137","volume":"17","author":[{"given":"Robert","family":"Lung","sequence":"first","affiliation":[{"name":"School of Engineering, University of Edinburgh, Edinburgh EH9 3JL, UK."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7188-7321","authenticated-orcid":true,"given":"Nick","family":"Polydorides","sequence":"additional","affiliation":[{"name":"School of Engineering, University of Edinburgh, Edinburgh EH9 3JL, UK."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"351","published-online":{"date-parts":[[2024,7,12]]},"reference":[{"key":"ref1","series-title":"SIGGRAPH \u201893 Course Notes","volume-title":"Global Illumination","author":"Arvo J.","year":"1993"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/25\/5\/053001"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/25\/7\/075010"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1137\/080734480"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3934\/ipi.2013.7.81"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1175\/JTECH1740.1"},{"key":"ref7","volume-title":"Statistical Inference","author":"Casella G.","year":"2001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/03605309608821207"},{"key":"ref9","first-page":"87","volume":"36","author":"Choulli M.","year":"1999","journal-title":"Osaka J. 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