Polarimetric imaging: system architectures and trade-offs

2018 ◽  
Author(s):  
Duncan L. Hickman ◽  
Moira I. Smith ◽  
Kyung Su Kim ◽  
Hyun-Jin Choi
Keyword(s):  
Imaging System ◽  
System Architectures ◽  
Trade Offs ◽  
Polarimetric Imaging

Electro-Optical Polarimetric Imaging System for Characterization of Resident Space Objects

2015 ◽  
Vol 52 (4) ◽  
pp. 1112-1128 ◽  
Author(s):  
George C. Giakos ◽  
Suman Shrestha ◽  
Tannaz Farrahi ◽  
Jeff Petermann ◽  
Aditi Deshpande ◽  
...  
Keyword(s):  
Imaging System ◽  
Polarimetric Imaging ◽  
Space Objects ◽  
Resident Space Objects

A Mueller polarimetric imaging system for biomedical applications

2003 ◽  
Author(s):  
Blandine Laude ◽  
Antonello De Martino ◽  
Gilles Le Naour ◽  
Catherine Genestie ◽  
Andre Nazac ◽  
...  
Keyword(s):  
Biomedical Applications ◽  
Imaging System ◽  
Polarimetric Imaging

Stokes-vector-based polarimetric imaging system for adaptive target/background contrast enhancement

2016 ◽  
Vol 55 (21) ◽  
pp. 5513 ◽  
Author(s):  
Minjie Wan ◽  
Guohua Gu ◽  
Weixian Qian ◽  
Kan Ren ◽  
Qian Chen
Keyword(s):  
Contrast Enhancement ◽  
Imaging System ◽  
Stokes Vector ◽  
Polarimetric Imaging ◽  
Background Contrast

scholarly journals Hyperspectral system trade-offs for illumination, hardware and analysis methods: a case study of seed mix ingredient discrimination

2020 ◽  
Author(s):  
Carolina Blanch-Pérez del Notario ◽  
Carlos López-Molina ◽  
Andy Lambrechts ◽  
Wouter Saeys
Keyword(s):  
Hyperspectral Imaging ◽  
Spectral Resolution ◽  
Food Industry ◽  
Near Infrared ◽  
Imaging System ◽  
Infrared Range ◽  
Analysis Methods ◽  
Trade Offs ◽  
The Impact

The discrimination power of a hyperspectral imaging system for image segmentation or object detection is determined by the illumination, the camera spatial–spectral resolution, and both the pre-processing and analysis methods used for image processing. In this study, we methodically reviewed the alternatives for each of those factors for a case study from the food industry to provide guidance in the construction and configuration of hyperspectral imaging systems in the visible near infrared range for food quality inspection. We investigated both halogen- and LED-based illuminations and considered cameras with different spatial–spectral resolution trade-offs. At the level of the data analysis, we evaluated the impact of binning, median filtering and bilateral filtering as pre- or post-processing and compared pixel-based classifiers with convolutional neural networks for a challenging application in the food industry, namely ingredient identification in a flour–seed mix. Starting from a basic configuration and by modifying the combination of system aspects we were able to increase the mean accuracy by at least 25 %. In addition, different trade-offs in performance-complexity were identified for different combinations of system parameters, allowing adaptation to diverse application requirements.

Infrared active polarimetric imaging system controlled by image segmentation algorithms: application to decamouflage

2016 ◽  
Author(s):  
Nicolas Vannier ◽  
François Goudail ◽  
Corentin Plassart ◽  
Matthieu Boffety ◽  
Patrick Feneyrou ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Imaging System ◽  
Segmentation Algorithms ◽  
Polarimetric Imaging

scholarly journals Meeting UK heat demands in zero emission renewable energy systems using storage and interconnectors

2021 ◽  
Author(s):  
Tiziano Gallo Cassarino ◽  
Mark Barrett
Keyword(s):  
Heat Supply ◽  
District Heating ◽  
Energy System ◽  
Heat Pumps ◽  
System Modelling ◽  
Reference Scenario ◽  
System Architectures ◽  
Trade Offs ◽  
Electrolytic Hydrogen ◽  
Zero Emission

Abstract With over a third of the United Kingdom's greenhouse gas emissions, decarbonising heat is key to achieving the Government's net-zero target by 2050. Here, we simulate high renewable zero-emission energy system architectures with heat supply based on the major options of district heating, heat pumps, and electrolytic hydrogen boilers. We adopt a novel whole system modelling approach that combines meteorology-driven hourly simulations of demand and supply with storage, flexible technologies, and interconnections on the European scale. Our results show that systems with heat supply based on consumer or district heat pumps require about four times less electricity per unit of heat, with a heat cost about half of that from electrolytic hydrogen boilers. Furthermore, we compare trade-offs between investment in different infrastructure components. For example, we find that, compared to the reference scenario, increasing renewable capacity by 33%, or interconnections by 200%, can lower system storage capacity by up to 50%.

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