Publicação
Tomosim
| dc.contributor.author | de Almeida, Rui Valente | |
| dc.contributor.author | Matela, Nuno | |
| dc.contributor.author | Vieira, Pedro | |
| dc.contributor.institution | DF – Departamento de Física | |
| dc.contributor.pbl | MDPI - Multidisciplinary Digital Publishing Institute | |
| dc.date.accessioned | 2022-02-15T23:36:20Z | |
| dc.date.available | 2022-02-15T23:36:20Z | |
| dc.date.issued | 2021-03 | |
| dc.description | PDE/BDE/ 114549/2016 UIDB/00645/2020 | |
| dc.description.abstract | TomoSim comes as part of project ATMOS, a miniaturised Differential Optical Absorption Spectroscopy (DOAS) tomographic atmospheric evaluation device, designed to fit a small drone. During the development of the project, it became necessary to write a simulation tool for system validation. TomoSim is the answer to this problem. The software has two main goals: to mathemati-cally validate the tomographic acquisition method; and to allow some adjustments to the system before reaching final product stages. This measurement strategy was based on a drone performing a sequential trajectory and gathering projections arranged in fan beams, before using some classical tomographic methods to reconstruct a spectral image. The team tested three different reconstruction algorithms, all of which were able to produce an image, validating the team’s initial assumptions regarding the trajectory and acquisition strategy. All algorithms were assessed on their computational performance and their ability for reconstructing spectral “images”, using two phantoms, one of which custom made for this purpose. In the end, the team was also able to uncover certain limitations of the TomoSim approach that should be addressed before the final stages of the system. | en |
| dc.description.version | publishersversion | |
| dc.description.version | published | |
| dc.format.extent | 20 | |
| dc.format.extent | 1478717 | |
| dc.identifier.doi | 10.3390/drones5010003 | |
| dc.identifier.other | PURE: 36700069 | |
| dc.identifier.other | PURE UUID: 7b131433-ed31-4029-a889-a158bbbdc111 | |
| dc.identifier.other | Scopus: 85099443058 | |
| dc.identifier.other | WOS: 000633082000001 | |
| dc.identifier.uri | http://hdl.handle.net/10362/132980 | |
| dc.identifier.url | https://www.scopus.com/pages/publications/85099443058 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.subject | Atmospheric monitoring | |
| dc.subject | DOAS | |
| dc.subject | Drone | |
| dc.subject | Tomography | |
| dc.subject | UAV | |
| dc.subject | Control and Systems Engineering | |
| dc.subject | Information Systems | |
| dc.subject | Aerospace Engineering | |
| dc.subject | Computer Science Applications | |
| dc.subject | Artificial Intelligence | |
| dc.title | Tomosim | en |
| dc.title.subtitle | A tomographic simulator for differential optical absorption spectroscopy | en |
| dc.type | journal article | |
| degois.publication.firstPage | 1 | |
| degois.publication.issue | 1 | |
| degois.publication.lastPage | 20 | |
| degois.publication.title | Drones | |
| degois.publication.volume | 5 | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess |
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