TY - JOUR
T1 - Tomosim
T2 - A tomographic simulator for differential optical absorption spectroscopy
AU - de Almeida, Rui Valente
AU - Matela, Nuno
AU - Vieira, Pedro
N1 - PDE/BDE/ 114549/2016
UIDB/00645/2020
PY - 2021/3
Y1 - 2021/3
N2 - 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.
AB - 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.
KW - Atmospheric monitoring
KW - DOAS
KW - Drone
KW - Tomography
KW - UAV
UR - http://www.scopus.com/inward/record.url?scp=85099443058&partnerID=8YFLogxK
U2 - 10.3390/drones5010003
DO - 10.3390/drones5010003
M3 - Article
AN - SCOPUS:85099443058
VL - 5
SP - 1
EP - 20
JO - Drones
JF - Drones
IS - 1
M1 - 3
ER -