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Modified Two-Point Correction Method for Wide-Spectrum LWIR Detection System
Non-uniformity commonly exists in the infrared focal plane, which behaves as the fixed-pattern noise (FPN) and seriously affects the image quality of long-wave infrared (LWIR) detection systems. The two-point correction (TPC) method is commonly used to reduce image FPN in engineering. However, when...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966154/ https://www.ncbi.nlm.nih.gov/pubmed/36850651 http://dx.doi.org/10.3390/s23042054 |
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author | Zhang, Di Sun, He Wang, Dejiang Liu, Jinghong Chen, Cheng |
author_facet | Zhang, Di Sun, He Wang, Dejiang Liu, Jinghong Chen, Cheng |
author_sort | Zhang, Di |
collection | PubMed |
description | Non-uniformity commonly exists in the infrared focal plane, which behaves as the fixed-pattern noise (FPN) and seriously affects the image quality of long-wave infrared (LWIR) detection systems. The two-point correction (TPC) method is commonly used to reduce image FPN in engineering. However, when a wide-spectrum LWIR detection system calibrated with a black body is used to detect weak and small targets in the sky, FPN still appears in the image, affecting its uniformity. The effects of atmospheric transmittance characteristics of long-range paths on the non-uniformity of wide-spectrum long-wave infrared systems have not been studied. This paper proposes a modified TPC model based on spectral subdivision that introduces atmospheric transmittance. Additionally, the effects of atmospheric transmittance characteristics on the long-wave infrared non-uniform correction coefficient are analyzed. The experimental results for a black body scene and sky scene using a weak and small target detection system with a long-wave Sofradir FPA demonstrate that the wide-spectrum LWIR detection system fully considers atmospheric transmittance when performing calibration based on the TPC method, which can reduce the non-uniformity of the image. |
format | Online Article Text |
id | pubmed-9966154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99661542023-02-26 Modified Two-Point Correction Method for Wide-Spectrum LWIR Detection System Zhang, Di Sun, He Wang, Dejiang Liu, Jinghong Chen, Cheng Sensors (Basel) Article Non-uniformity commonly exists in the infrared focal plane, which behaves as the fixed-pattern noise (FPN) and seriously affects the image quality of long-wave infrared (LWIR) detection systems. The two-point correction (TPC) method is commonly used to reduce image FPN in engineering. However, when a wide-spectrum LWIR detection system calibrated with a black body is used to detect weak and small targets in the sky, FPN still appears in the image, affecting its uniformity. The effects of atmospheric transmittance characteristics of long-range paths on the non-uniformity of wide-spectrum long-wave infrared systems have not been studied. This paper proposes a modified TPC model based on spectral subdivision that introduces atmospheric transmittance. Additionally, the effects of atmospheric transmittance characteristics on the long-wave infrared non-uniform correction coefficient are analyzed. The experimental results for a black body scene and sky scene using a weak and small target detection system with a long-wave Sofradir FPA demonstrate that the wide-spectrum LWIR detection system fully considers atmospheric transmittance when performing calibration based on the TPC method, which can reduce the non-uniformity of the image. MDPI 2023-02-11 /pmc/articles/PMC9966154/ /pubmed/36850651 http://dx.doi.org/10.3390/s23042054 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Di Sun, He Wang, Dejiang Liu, Jinghong Chen, Cheng Modified Two-Point Correction Method for Wide-Spectrum LWIR Detection System |
title | Modified Two-Point Correction Method for Wide-Spectrum LWIR Detection System |
title_full | Modified Two-Point Correction Method for Wide-Spectrum LWIR Detection System |
title_fullStr | Modified Two-Point Correction Method for Wide-Spectrum LWIR Detection System |
title_full_unstemmed | Modified Two-Point Correction Method for Wide-Spectrum LWIR Detection System |
title_short | Modified Two-Point Correction Method for Wide-Spectrum LWIR Detection System |
title_sort | modified two-point correction method for wide-spectrum lwir detection system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966154/ https://www.ncbi.nlm.nih.gov/pubmed/36850651 http://dx.doi.org/10.3390/s23042054 |
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