Construction of customized atmospheric transmission model for direct solar irradiance in localized peninsular

Choi, Ji Nyeong; Ahn, Kwangsu; Lee, Sang‐Hee; Kim, Sug-Whan

doi:10.1117/12.2569077

Cited by 1 publication

(1 citation statement)

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“…Determination of path radiance and atmospheric transmission with MODTRAN's standard profiles has often led to differences compared with measured data. One method to reduce the difference between predicted and measured values is to carefully match local radiosonde to the six standard profiles and use the best match and correct the sun's positioning about the sensor [12,13]. Various other publications cite using MODTRAN with the Navy Maritime Aerosol Model to improve results [14,15].…”

Section: Related Workmentioning

confidence: 99%

Refining Atmosphere Profiles for Aerial Target Detection Models

Grimming

Leslie

Burrell

et al. 2021

Sensors

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Atmospheric path radiance in the infrared is an extremely important quantity in calculating system performance in certain infrared detection systems. For infrared search and track (IRST) system performance calculations, the path radiance competes with the target for precious detector well electrons. In addition, the radiance differential between the target and the path radiance defines the signal level that must be detected. Long-range, high-performance, offensive IRST system design depends on accurate path radiance predictions. In addition, in new applications such as drone detection where a dim unresolved target is embedded into a path radiance background, sensor design and performance are highly dependent on atmospheric path radiance. Being able to predict the performance of these systems under particular weather conditions and locations has long been an important topic. MODTRAN has been a critical tool in the analysis of systems and prediction of electro-optical system performance. The authors have used MODTRAN over many years for an average system performance using the typical “pull-down” conditions in the software. This article considers the level of refinement required for a custom MODTRAN atmosphere profile to satisfactorily model an infrared camera’s performance for a specific geographic location, date, and time. The average difference between a measured sky brightness temperature and a MODTRAN predicted value is less than 0.5 °C with sufficient atmosphere profile updates. The agreement between experimental results and MODTRAN predictions indicates the effectiveness of including updated atmospheric composition, radiosonde, and air quality data from readily available Internet sources to generate custom atmosphere profiles.

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Section: Related Workmentioning

confidence: 99%