scholarly journals Design, Fabrication, and Performance Evaluation of Portable and Large-Area Blackbody System

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5836
Author(s):  
Ji Yong Bae ◽  
Won Choi ◽  
Suk-Ju Hong ◽  
Sangyeon Kim ◽  
Eungchan Kim ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Imaging System ◽  
Thermal Response ◽  
Reference Source ◽  
Insulation Material ◽  
Large Area ◽  
Operation Performance ◽  
Noise Equivalent Temperature Difference ◽  
And Performance ◽  
Signal Transfer Function

In this study, a portable and large-area blackbody system was developed following a series of processes including design, computational analysis, fabrication, and experimental analysis and evaluation. The blackbody system was designed to be lightweight (5 kg), and its temperature could exceed the ambient temperature by up to 15 °C under operation. A carbon-fiber-based heat source was used to achieve a uniform temperature distribution. A heat shield fabricated from an insulation material was embedded at the opposite side of the heating element to minimize heat loss. A prototype of the blackbody system was fabricated based on the design and transient coupled electro-thermal simulation results. The operation performance of this system, such as the thermal response, signal transfer function, and noise equivalent temperature difference, was evaluated by employing an infrared imaging system. In addition, emissivity was measured during operation. The results of this study show that the developed portable and large-area blackbody system can be expected to serve as a reliable reference source for the calibration of aerial infrared images for the application of aerial infrared techniques to remote sensing.

Research on Noise Simulation of Infrared Detector

2012 ◽  
Vol 433-440 ◽  
pp. 4120-4123
Author(s):  
Shu Li Lou ◽  
Yan Li Han ◽  
Jian Cun Ren ◽  
Xiao Hu Yuan ◽  
Xiao Dong Zhou
Keyword(s):  
Mathematical Model ◽  
Mathematical Models ◽  
Infrared Imaging ◽  
Imaging System ◽  
Infrared Detector ◽  
System Research ◽  
Infrared Imaging System ◽  
Noise Simulation ◽  
And Performance ◽  
The Mathematical Model

Noises of infrared detector have an important influence on sensitivity of infrared imaging system, and it affect the imaging quality and performance of infrared system. Research on noises of infrared detector is a challenging topic in designing, simulating and evaluating of infrared imaging system. All kinds of noises are studied in detail, and mathematical models are built. The method of simulating noises of detector is proposed, and noises are simulated based on the mathematical model.

Optomechanical uncooled infrared imaging system: design, microfabrication, and performance

2002 ◽  
Vol 11 (2) ◽  
pp. 136-146 ◽  
Author(s):  
Yang Zhao ◽  
Minyao Mao ◽  
R. Horowitz ◽  
A. Majumdar ◽  
J. Varesi ◽  
...  
Keyword(s):  
System Design ◽  
Infrared Imaging ◽  
Imaging System ◽  
Infrared Imaging System ◽  
And Performance ◽  
Imaging System Design ◽  
Uncooled Infrared Imaging

Design and performance of a small low-power infrared imaging system

1999 ◽  
Author(s):  
John J. Forsthoefel ◽  
J. B. Toft
Keyword(s):  
Low Power ◽  
Infrared Imaging ◽  
Imaging System ◽  
Infrared Imaging System ◽  
And Performance

scholarly journals Large area scanning thermal microscopy and infrared imaging system

2019 ◽  
Vol 30 (3) ◽  
pp. 035010 ◽  
Author(s):  
Jan Martinek ◽  
Miroslav Valtr ◽  
Václav Hortvík ◽  
Petr Grolich ◽  
Danick Briand ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Imaging System ◽  
Scanning Thermal Microscopy ◽  
Large Area ◽  
Thermal Microscopy ◽  
Infrared Imaging System

Characterization and performance of optomechanical uncooled infrared imaging system

2003 ◽  
Author(s):  
Yang Zhao ◽  
Jongeun Choi ◽  
Roberto Horowitz ◽  
Arun Majumdar ◽  
John E. Kitching ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Imaging System ◽  
Infrared Imaging System ◽  
And Performance ◽  
Uncooled Infrared Imaging

scholarly journals Rapid Single Image-Based DTM Estimation from ExoMars TGO CaSSIS Images Using Generative Adversarial U-Nets

2021 ◽  
Vol 13 (15) ◽  
pp. 2877
Author(s):  
Yu Tao ◽  
Siting Xiong ◽  
Susan J. Conway ◽  
Jan-Peter Muller ◽  
Anthony Guimpier ◽  
...  
Keyword(s):  
High Resolution ◽  
Large Scale ◽  
Imaging System ◽  
Landing Site ◽  
Parameter Tuning ◽  
Processing Parameters ◽  
Input Image ◽  
Large Area ◽  
Laser Altimeter ◽  
Imaging Science

The lack of adequate stereo coverage and where available, lengthy processing time, various artefacts, and unsatisfactory quality and complexity of automating the selection of the best set of processing parameters, have long been big barriers for large-area planetary 3D mapping. In this paper, we propose a deep learning-based solution, called MADNet (Multi-scale generative Adversarial u-net with Dense convolutional and up-projection blocks), that avoids or resolves all of the above issues. We demonstrate the wide applicability of this technique with the ExoMars Trace Gas Orbiter Colour and Stereo Surface Imaging System (CaSSIS) 4.6 m/pixel images on Mars. Only a single input image and a coarse global 3D reference are required, without knowing any camera models or imaging parameters, to produce high-quality and high-resolution full-strip Digital Terrain Models (DTMs) in a few seconds. In this paper, we discuss technical details of the MADNet system and provide detailed comparisons and assessments of the results. The resultant MADNet 8 m/pixel CaSSIS DTMs are qualitatively very similar to the 1 m/pixel HiRISE DTMs. The resultant MADNet CaSSIS DTMs display excellent agreement with nested Mars Reconnaissance Orbiter Context Camera (CTX), Mars Express’s High-Resolution Stereo Camera (HRSC), and Mars Orbiter Laser Altimeter (MOLA) DTMs at large-scale, and meanwhile, show fairly good correlation with the High-Resolution Imaging Science Experiment (HiRISE) DTMs for fine-scale details. In addition, we show how MADNet outperforms traditional photogrammetric methods, both on speed and quality, for other datasets like HRSC, CTX, and HiRISE, without any parameter tuning or re-training of the model. We demonstrate the results for Oxia Planum (the landing site of the European Space Agency’s Rosalind Franklin ExoMars rover 2023) and a couple of sites of high scientific interest.

scholarly journals First-of-a-kind muography for nuclear waste characterization

2018 ◽  
Vol 377 (2137) ◽  
pp. 20180048 ◽  
Author(s):  
David Mahon ◽  
Anthony Clarkson ◽  
Simon Gardner ◽  
David Ireland ◽  
Ramsey Jebali ◽  
...  
Keyword(s):  
Nuclear Waste ◽  
Imaging System ◽  
Academic Research ◽  
Cosmic Ray ◽  
Laboratory Facility ◽  
Waste Container ◽  
High Resolution Images ◽  
And Performance ◽  
The Uk ◽  
The University

In the last decade, there has been a surge in the number of academic research groups and commercial companies exploiting naturally occurring cosmic-ray muons for imaging purposes in a range of industrial and geological applications. Since 2009, researchers at the University of Glasgow and the UK National Nuclear Laboratory (NNL) have pioneered this technique for the characterization of shielded nuclear waste containers with significant investment from the UK Nuclear Decommissioning Authority and Sellafield Ltd. Lynkeos Technology Ltd. was formed in 2016 to commercialize the Muon Imaging System (MIS) technology that resulted from this industry-funded academic research. The design, construction and performance of the Lynkeos MIS is presented along with first experimental and commercial results. The high-resolution images include the identification of small fragments of uranium within a surrogate 500-litre intermediate level waste container and metal inclusions within thermally treated GeoMelt® R&D Product Samples. The latter of these are from Lynkeos' first commercial contract with the UK National Nuclear Laboratory. The Lynkeos MIS will be deployed at the NNL Central Laboratory facility on the Sellafield site in Summer 2018 where it will embark upon a series of industry trials. This article is part of the Theo Murphy meeting issue ‘Cosmic-ray muography’.

The Targeting Behavior of Folate-Nanohydrogel Evaluated by Near Infrared Imaging System in Tumor-Bearing Mouse Model

2009 ◽  
Vol 27 (1) ◽  
pp. 46-55 ◽  
Author(s):  
Jian Zhang ◽  
Dawei Deng ◽  
Zhiyu Qian ◽  
Fei Liu ◽  
Xinyang Chen ◽  
...  
Keyword(s):  
Mouse Model ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Imaging System ◽  
Tumor Bearing Mouse ◽  
Near Infrared Imaging ◽  
Tumor Bearing ◽  
Infrared Imaging System
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