Influence of temperature fluctuations on infrared limb radiance: a new simulation code

Rialland, Valérie

doi:10.1117/1.2802077

Cited by 2 publications

(4 citation statements)

References 6 publications

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“…This code computes radiance structures for different airborne or satellite sensors. 2 Comparisons with SIG results show good agreement for satellite cases. For each pixel, the radiance is computed along the line of sight ͑LOS͒.…”

Section: Introductionsupporting

confidence: 58%

“…In this case, the sensor altitude is lower than most LOS altitudes; therefore, the radiance maximum contribution is located very close to the sensor. As shown in Rialland et al, 2 we used MODTRAN-4 additional computations to extrapolate SAMM2-computed inputs near the sensor. The BRUTE3D code is thus able to generate an image of the atmospheric radiance background clutter as seen by a limb-viewing satellite or airborne sensor.…”

Section: Radiance and Irradiance Structure Calculation Techniques 21mentioning

confidence: 99%

“…2 This code makes use of a 3-D grid of temperature fluctuations ⌬T / T that models the atmosphere heterogeneities. This grid is generated 9 by the AFRL code SIG.…”

Section: Radiance and Irradiance Structure Calculation Techniques 21mentioning

confidence: 99%

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Irradiance extension for the radiance fluctuation code BRUTE3D

et al. 2010

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Atmospheric radiance structures are induced by local temperature and density fluctuations. The design, development, and use of electro-optical surveillance systems require the knowledge of atmospheric radiance clutter at small spatial scales. A model is developed to study radiance fluctuations observed by an airborne IR sensor. This model uses intermediate results of the Air Force Research Laboratory background radiance code SAMM-2 and synthesizes an image of atmospheric background clutter according to the sensor characteristics. Inputs are a 3-D grid of temperature fluctuations and SAMM-2 transfer functions. We extend this code to calculate atmospheric limb viewing irradiance images for airborne and satellite sensors. We detail the irradiance extension of the clutter calculation code and present some results for satellite and airborne viewing conditions.

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Section: Introductionsupporting

confidence: 58%

Section: Radiance and Irradiance Structure Calculation Techniques 21mentioning

confidence: 99%

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Irradiance extension for the radiance fluctuation code BRUTE3D

et al. 2010

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“…In recent years, infrared spectral detection of targets in near space has gradually become a research hotspot, among which the infrared spectral radiation characteristics of atmospheric background in near space have become important part of the research in this field [1]. The study of infrared spectral radiance characteristics of atmospheric background in near space is not only of great significance for atmospheric profile and trace gas inversion [2], environmental remote sensing monitoring, target detection and tracking and other fields [3]. It can also provide important reference data for the performance index and parameter design of detector.…”

Section: Introductionmentioning

confidence: 99%

Infrared background spectral radiance analysis of limb observation based on satellite observation data

Bai

Huang

2023

Third Optics Frontier Conference (OFS 2023)

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Aiming at the requirement of accurate simulation of near-space atmospheric infrared background radiation, this paper simulates near-space infrared atmospheric background radiance according to atmospheric parameters detected by satellites.The multi-channel infrared radiometer SABER (Sound of the Atmosphere using Broadband Emission Radiometry) carried by TIMED satellite (Thermosphere, Ionosphere Mesosphere Energetics and Dynamics) is used to acquire atmospheric profile. Combined with limb observation model and atmospheric background radiance calculation model, the transmittance and spectral radiance of infrared atmospheric background were simulated. The spectral radiance of atmospheric background under the standard atmospheric model and satellite atmospheric profiles was compared to analyze the difference between the two atmospheric parameter. In the infrared band, the atmospheric profile has a great impact on atmospheric background radiance. For the accurate simulation calculation of infrared background spectral radiance in different regions, the influence of atmospheric profile parameters should be taken into account.

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Influence of temperature fluctuations on infrared limb radiance: a new simulation code

Cited by 2 publications

References 6 publications

Irradiance extension for the radiance fluctuation code BRUTE3D

Irradiance extension for the radiance fluctuation code BRUTE3D

Infrared background spectral radiance analysis of limb observation based on satellite observation data

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