scholarly journals Infrared imaging techniques for the measurement of complex near-field antenna patterns

1996 ◽  
Author(s):  
J. Will ◽  
J. Norgard ◽  
C. Stubenrauch ◽  
M. Seifert
Keyword(s):  
Infrared Imaging ◽  
Imaging Techniques ◽  
Near Field

scholarly journals Understanding the conductive channel evolution in Na:WO3−x-based planar devices

Nanoscale ◽  
2015 ◽  
Vol 7 (14) ◽  
pp. 6023-6030 ◽  
Author(s):  
Dashan Shang ◽  
Peining Li ◽  
Tao Wang ◽  
Egidio Carria ◽  
Jirong Sun ◽  
...  
Keyword(s):  
Optical Imaging ◽  
Infrared Imaging ◽  
Imaging Techniques ◽  
Near Field ◽  
Channel Evolution ◽  
Conductive Channel

The conductive channel evolution in Na:WO3−xfilms is visualized byin situoptical imaging combined with near-field infrared imaging techniques.

scholarly journals Close-Range Photogrammetry and Infrared Imaging for Non-Invasive Honeybee Hive Population Assessment

2018 ◽  
Vol 7 (9) ◽  
pp. 350 ◽  
Author(s):  
Luis López-Fernández ◽  
Susana Lagüela ◽  
Pablo Rodríguez-Gonzálvez ◽  
José Martín-Jiménez ◽  
Diego González-Aguilera
Keyword(s):  
Computer Vision ◽  
Infrared Imaging ◽  
Imaging Techniques ◽  
Population Level ◽  
Non Invasive ◽  
Close Range Photogrammetry ◽  
3D Geometry ◽  
Thermographic Imaging ◽  
Close Range ◽  
Bee Colonies

Close-range photogrammetry and thermographic imaging techniques are used for the acquisition of all the data needed for the non-invasive assessment of a honeybee hive population. Temperature values complemented with precise 3D geometry generated using novel close-range photogrammetric and computer vision algorithms are used for the computation of the inner beehive temperature at each point of its surface. The methodology was validated through its application to three reference beehives with different population levels. The temperatures reached by the exterior surfaces of the hives showed a direct correlation with the population level. In addition, the knowledge of the 3D reality of the hives and the position of each temperature value allowed the positioning of the bee colonies without the need to open the hives. This way, the state of honeybee hives regarding the growth of population can be estimated without disturbing its natural development.

Molecular Sensitivity of Near-Field Vibrational Infrared Imaging

2020 ◽  
Vol 124 (38) ◽  
pp. 21018-21026
Author(s):  
Chih-Feng Wang ◽  
Bijesh Kafle ◽  
Tefera E. Tesema ◽  
Hamed Kookhaee ◽  
Terefe G. Habteyes
Keyword(s):  
Infrared Imaging ◽  
Near Field

Novel Electro-Optic Imaging Technologies for Day/Night Oil Spill Detection

2014 ◽  
Vol 2014 (1) ◽  
pp. 299609
Author(s):  
Toomas H. Allik ◽  
Roberta E. Dixon ◽  
Lenard V. Ramboyong ◽  
Mark Roberts ◽  
Thomas J. Soyka ◽  
...  
Keyword(s):  
Oil Spill ◽  
Infrared Imaging ◽  
Imaging Techniques ◽  
Spectral Characteristics ◽  
Laboratory Data ◽  
Field Tests ◽  
Light Level ◽  
Test Facility ◽  
Imaging Technologies ◽  
Oil Spill Detection

Joint program between the U.S. Departments of the Interior and Defense to bring knowledge, expertise and military, low-light level and hyperspectral imaging technologies to remote oil spill detection. Program emphasis is to determine remote infrared imaging techniques for the quantification of oil spill thickness. Spectral characteristics of various crude oils in the SWIR (1–2 microns), MWIR (3–5 microns) and LWIR (8–12 microns) were measured. Analysis of laboratory data and Deepwater Horizon hyperspectral imagery showed the utility of the SWIR region to detect crude oil and emulsions. We have evaluated two SWIR wavelengths (1200 nm and 1250 nm) for thickness assessment. An infrared, 3-color imager is discussed along with field tests at the BSEE's Ohmsett test facility.

scholarly journals Surface Wave Multipath Signals in Near-Field Microwave Imaging

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Paul M. Meaney ◽  
Fridon Shubitidze ◽  
Margaret W. Fanning ◽  
Maciej Kmiec ◽  
Neil R. Epstein ◽  
...  
Keyword(s):  
Surface Wave ◽  
Surface Waves ◽  
Antenna Arrays ◽  
Imaging Techniques ◽  
Near Field ◽  
Microwave Imaging ◽  
Feed Line ◽  
Receiving Antenna ◽  
Wave Effects ◽  
Multipath Signals

Microwave imaging techniques are prone to signal corruption from unwanted multipath signals. Near-field systems are especially vulnerable because signals can scatter and reflect from structural objects within or on the boundary of the imaging zone. These issues are further exacerbated when surface waves are generated with the potential of propagating along the transmitting and receiving antenna feed lines and other low-loss paths. In this paper, we analyze the contributions of multi-path signals arising from surface wave effects. Specifically, experiments were conducted with a near-field microwave imaging array positioned at variable heights from the floor of a coupling fluid tank. Antenna arrays with different feed line lengths in the fluid were also evaluated. The results show that surface waves corrupt the received signals over the longest transmission distances across the measurement array. However, the surface wave effects can be eliminated provided the feed line lengths are sufficiently long independently of the distance of the transmitting/receiving antenna tips from the imaging tank floor. Theoretical predictions confirm the experimental observations.

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