TY - GEN
T1 - Mathematical Estimation of Particulate Air Pollution Levels by Multi-angle Imaging
AU - Vernik, Or
AU - Fishbain, Barak
N1 - Publisher Copyright:
© 2020, IFIP International Federation for Information Processing.
PY - 2020
Y1 - 2020
N2 - Air pollution control and mitigation are important factors in wellbeing and sustainability. To this end, air pollution monitoring has a significant role. Today, air pollution monitoring is mainly done by standardized stations. The spread of those stations is sparse and their cost hinders the option of adding more. Thus, arises the need for cheaper and available means to assess air pollution. In this article, a method for assessing air pollution levels by means of multi angle imaging is presented. Specifically, the focus is on estimating images’ blur as an indication for PM (Particulate Matter) ambient levels. The suggested method applies back-projection Radon transform. By back projection methodology, particles’ concentration at each voxel in a 3D space is reconstructed from photos taken from a few different angles.
AB - Air pollution control and mitigation are important factors in wellbeing and sustainability. To this end, air pollution monitoring has a significant role. Today, air pollution monitoring is mainly done by standardized stations. The spread of those stations is sparse and their cost hinders the option of adding more. Thus, arises the need for cheaper and available means to assess air pollution. In this article, a method for assessing air pollution levels by means of multi angle imaging is presented. Specifically, the focus is on estimating images’ blur as an indication for PM (Particulate Matter) ambient levels. The suggested method applies back-projection Radon transform. By back projection methodology, particles’ concentration at each voxel in a 3D space is reconstructed from photos taken from a few different angles.
KW - Air pollution monitoring
KW - Filtered Back Projection
KW - Multi-angle imaging
UR - http://www.scopus.com/inward/record.url?scp=85080879723&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-39815-6_24
DO - 10.1007/978-3-030-39815-6_24
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:85080879723
SN - 9783030398149
T3 - IFIP Advances in Information and Communication Technology
SP - 249
EP - 257
BT - Environmental Software Systems. Data Science in Action - 13th IFIP WG 5.11 International Symposium, ISESS 2020, Proceedings
A2 - Athanasiadis, Ioannis N.
A2 - Knibbe, Willem Jan
A2 - Frysinger, Steven P.
A2 - Schimak, Gerald
T2 - 13th IFIP WG 5.11 International Symposium on Environmental Software Systems, ISESS 2020
Y2 - 5 February 2020 through 7 February 2020
ER -