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We present a radiant temperature measurement technique utilizing a 25-band filter array imaging system, which effectively improves the temperature measurement range and temperature measurement accuracy. The CMOS sensor of the multi-spectral camera is uniformly photolithographed with a 25-band filter array, allowing for the simultaneous acquisition of spectral information and radiation intensity from the temperature source in a single image. A calibration experiment was conducted using a standard blackbody source to determine the relationship between the instrumental response values and the theoretical radiation intensity across each wave band of the multi-spectral camera. Additionally, a two-dimensional temperature field distribution was obtained using the dual annealing algorithm. Temperature inversion and error analysis were performed on multi-spectral images captured at four different temperatures, successfully yielding the two-dimensional temperature distribution of a butane flame with a maximum temperature measurement error of 0.65%, and the temperature measurement system extended uncertainty is 2.98%. The main factors affecting the temperature measurement accuracy include the accuracy of the blackbody furnace, the response noise of the multi-spectral camera, the accuracy of the filter, and the accuracy of the dual annealing algorithm. In the future, the temperature measurement accuracy of the measurement system can be improved by calibrating the high-precision blackbody, improving the signal-to-noise ratio, improving the optical accuracy of the filter, and optimizing the inversion accuracy of the algorithm. This method enables non-contact, high-precision temperature distribution measurements, offering a novel approach for accurate temperature measurement in the future.
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http://dx.doi.org/10.1364/OL.558830 | DOI Listing |
Light Sci Appl
September 2025
Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 230031, Hefei, China.
Marine vessels play a vital role in the global economy; however, their negative impact on the marine atmospheric environment is a growing concern. Quantifying marine vessel emissions is an essential prerequisite for controlling these emissions and improving the marine atmospheric environment. Optical imaging remote sensing is a vital technique for quantifying marine vessel emissions.
View Article and Find Full Text PDFNat Commun
September 2025
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Rising atmospheric vapor pressure deficit (VPD)-a measure of atmospheric dryness, defined as the difference between saturated vapor pressure (SVP) and actual vapor pressure (AVP)-has been linked to increasing daily mean near-surface air temperatures since the 1980s. However, it remains unclear whether the faster increases in daily maximum temperature (T) relative to daily minimum temperature (T) have contributed to rising VPD. Here, we show that the faster rise in T compared with T over land has intensified VPD from 1980 to 2023.
View Article and Find Full Text PDFJ R Soc Interface
September 2025
Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
In temperate regions, respiratory viruses such as SARS-CoV-2 are better transmitted in winter than in summer. Understanding how the weather is associated with SARS-CoV-2 transmissibility can enhance projections of COVID-19 incidence and improve estimation of the effectiveness of control measures. During the pandemic, transmissibility was tracked by the reproduction number .
View Article and Find Full Text PDFACS Nano
September 2025
State Key Lab of New Ceramic Materials, School of Materials Science and Engineering, Tsinghua University, Beijing 100084, China.
SnSe is a layered semiconductor with intrinsically low thermal conductivity, making it a promising candidate for thermoelectric and thermal management applications. However, detailed measurements of the intrinsic thermal conductivity of SnSe nanosheets grown by chemical vapor deposition (CVD) remain scarce. Here, monocrystalline SnSe nanosheets were synthesized by CVD, with systematic investigation of thickness-dependent in-plane thermal conductivity.
View Article and Find Full Text PDFJ Environ Manage
September 2025
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Dissolved oxygen (DO) is a key water quality indicator reflecting river health. Modeling and understanding the spatiotemporal dynamics of DO and its influencing factors are crucial for effective river management. Machine learning (ML) models have gained popularity in water quality prediction; however, their accuracy strongly depends on the predictor variables.
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