Characterization and reduction of stochastic and periodic anomalies in a hyperspectral imaging sensor system

1996 ◽  
Author(s):  
Bruce V. Shetler ◽  
Hugh H. Kieffer
Keyword(s):  
Hyperspectral Imaging ◽  
Sensor System ◽  
Imaging Sensor

Parametric methodologies and tools for first-order hyperspectral imaging sensor system design

2004 ◽  
Author(s):  
Terrence S. Lomheim ◽  
Eric A. Nussbaumer ◽  
Jeffrey A. Lang ◽  
David W. Warren ◽  
Nemesio Caraballo
Keyword(s):  
System Design ◽  
Hyperspectral Imaging ◽  
Sensor System ◽  
First Order ◽  
Sensor System Design ◽  
Imaging Sensor

Tumor cell detection method using complement-mediated cytolytic reaction and imaging sensor system

1987 ◽  
Vol 15 (3) ◽  
pp. 191-200 ◽  
Author(s):  
Masayasu Suzuki ◽  
Nobuyuki Watamabe ◽  
Eiichi Tamiya ◽  
Tetsuro Kataoka ◽  
Tohru Tokunaga ◽  
...  
Keyword(s):  
Tumor Cell ◽  
Detection Method ◽  
Sensor System ◽  
Cell Detection ◽  
Tumor Cell Detection ◽  
Imaging Sensor

scholarly journals Miniaturized chemical imaging sensor system using an OLED display panel

2010 ◽  
Vol 5 ◽  
pp. 516-519 ◽  
Author(s):  
Ko-ichiro Miyamoto ◽  
Kazumi Kaneko ◽  
Akira Matsuo ◽  
Torsten Wagner ◽  
Shin’ichiro Kanoha ◽  
...  
Keyword(s):  
Chemical Imaging ◽  
Sensor System ◽  
Imaging Sensor ◽  
Oled Display

scholarly journals Retrieval of NO2 Column Amounts from Ground-Based Hyperspectral Imaging Sensor Measurements

2019 ◽  
Vol 11 (24) ◽  
pp. 3005 ◽  
Author(s):  
Hyeon-Ju Park ◽  
Jin-Soo Park ◽  
Sang-Woo Kim ◽  
Heesung Chong ◽  
Hana Lee ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Zenith Angle ◽  
Vertical Profile ◽  
Azimuth Angle ◽  
Fitting Method ◽  
Intensive Observation ◽  
Imaging Sensor ◽  
Total Column ◽  
Observation Period ◽  
Good Agreement

Total column amounts of NO2 (TCN) were estimated from ground-based hyperspectral imaging sensor (HIS) measurements in a polluted urban area (Seoul, Korea) by applying the radiance ratio fitting method with five wavelength pairs from 400 to 460 nm. We quantified the uncertainty of the retrieved TCN based on several factors. The estimated TCN uncertainty was up to 0.09 Dobson unit (DU), equivalent to 2.687 × 1020 molecules m−2) given a 1° error for the observation geometries, including the solar zenith angle, viewing zenith angle, and relative azimuth angle. About 0.1 DU (6.8%) was estimated for an aerosol optical depth (AOD) uncertainty of 0.01. In addition, the uncertainty due to the NO2 vertical profile was 14% to 22%. Compared with the co-located Pandora spectrophotometer measurements, the HIS captured the temporal variation of the TCN during the intensive observation period. The correlation between the TCN from the HIS and Pandora also showed good agreement, with a slight positive bias (bias: 0.6 DU, root mean square error: 0.7 DU).

Miniature infrared hyperspectral imaging sensor for airborne applications

2017 ◽  
Author(s):  
Michele Hinnrichs ◽  
Bradford Hinnrichs ◽  
Earl McCutchen
Keyword(s):  
Hyperspectral Imaging ◽  
Imaging Sensor
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