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פותח על ידי קלירמאש פתרונות בע"מ -
Radiometric imaging by double exposure and gain calibration
Year:
2017
Source of publication :
Applied Optics
Authors :
פפיני, שחר
;
.
Volume :
56
Co-Authors:
Klapp, I., Information and Mechanization Engineering, Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Bet Dagan, Israel
Papini, S., Information and Mechanization Engineering, Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Bet Dagan, Israel, Department of Applied Mathematics, Tel Aviv University, Tel Aviv, Israel
Sochen, N., Department of Applied Mathematics, Tel Aviv University, Tel Aviv, Israel
Facilitators :
From page:
5639
To page:
5647
(
Total pages:
9
)
Abstract:
Due to low cost and small size, uncooled microbolometer-based thermal focal plane arrays are very attractive for radiometry. However, being non-cooled, they suffer from temporally and spatially dependent changes that require constant calibration. While the gain calibration can be reasonably realized by two-point correction, the offset due to internal radiation loads poses a complicated calibration scheme. We present a new computational optics approach that simplifies the essential calibration for temperature offset. Using two successive images of the object taken with different known blur levels, one can eliminate the object term from the image-formation equation, resulting in an equation for the unknown sensor offset. A general algebraic model is presented for the spacevariant case followed by solutions using both direct inverse method and iterative solver. The new scheme allows restoration of the radiometric value within 1% error with the direct method, and 0.2% error with the iterative scheme. Account of the influence of realistic lens positioning error on restoration accuracy was given. Results using direct inverse methods for restoring the radiometric values yield restoration error with a good average error of 3.7% and less. © 2017 Optical Society of America.
Note:
Related Files :
Algebraic modeling
calibration
Calibration schemes
Internal radiation
Radiometric imaging
radiometry
Restoration
Temperature offset
עוד תגיות
תוכן קשור
More details
DOI :
10.1364/AO.56.005639
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
27088
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:28
Scientific Publication
Radiometric imaging by double exposure and gain calibration
56
Klapp, I., Information and Mechanization Engineering, Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Bet Dagan, Israel
Papini, S., Information and Mechanization Engineering, Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Bet Dagan, Israel, Department of Applied Mathematics, Tel Aviv University, Tel Aviv, Israel
Sochen, N., Department of Applied Mathematics, Tel Aviv University, Tel Aviv, Israel
Radiometric imaging by double exposure and gain calibration
Due to low cost and small size, uncooled microbolometer-based thermal focal plane arrays are very attractive for radiometry. However, being non-cooled, they suffer from temporally and spatially dependent changes that require constant calibration. While the gain calibration can be reasonably realized by two-point correction, the offset due to internal radiation loads poses a complicated calibration scheme. We present a new computational optics approach that simplifies the essential calibration for temperature offset. Using two successive images of the object taken with different known blur levels, one can eliminate the object term from the image-formation equation, resulting in an equation for the unknown sensor offset. A general algebraic model is presented for the spacevariant case followed by solutions using both direct inverse method and iterative solver. The new scheme allows restoration of the radiometric value within 1% error with the direct method, and 0.2% error with the iterative scheme. Account of the influence of realistic lens positioning error on restoration accuracy was given. Results using direct inverse methods for restoring the radiometric values yield restoration error with a good average error of 3.7% and less. © 2017 Optical Society of America.
Scientific Publication
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