Calibration of EOS multispectral imaging sensors and solar irradiance variability

1991 ◽  
Author(s):  
Ann Mecherikunnel
Keyword(s):  
Solar Irradiance ◽  
Multispectral Imaging ◽  
Imaging Sensors

Automated Detection of Bleeding in Capsule Endoscopy using on-chip Multispectral Imaging Sensors

2020 ◽  
pp. 1-1
Author(s):  
Mohammad Reza Mohebbian ◽  
Md Hanif Ali Sohag ◽  
Seyed Shahim Vedaei ◽  
Khan A. Wahid
Keyword(s):  
Capsule Endoscopy ◽  
Multispectral Imaging ◽  
Automated Detection ◽  
On Chip ◽  
Imaging Sensors

Calibration of Space-Multispectral Imaging Sensors

1999 ◽  
Vol 68 (3) ◽  
pp. 194-205 ◽  
Author(s):  
Magdeleine Dinguirard ◽  
Philip N. Slater
Keyword(s):  
Multispectral Imaging ◽  
Imaging Sensors

Optimizing resolution efficiency for long-range EOIR multispectral imaging sensors

2016 ◽  
Author(s):  
S. Craig Olson ◽  
Timothy D. Goodman ◽  
Andrew W. Sparks ◽  
Craig S. Wheeler
Keyword(s):  
Long Range ◽  
Multispectral Imaging ◽  
Imaging Sensors

Measurement of sun-tracking accuracy and solar irradiance through multispectral imaging

2010 ◽  
Author(s):  
Donato Vincenzi ◽  
Stefano Baricordi ◽  
Massimiliano Occhiali ◽  
Marco Stefancich ◽  
Antonio Parretta ◽  
...  
Keyword(s):  
Solar Irradiance ◽  
Multispectral Imaging ◽  
Tracking Accuracy

scholarly journals Filter Selection for Optimizing Spectral Sensitivity of Broadband Multispectral Camera Based on Maximum Linear Independence

2017 ◽  
Author(s):  
Sui-Xian Li ◽  
Da-Qi Xu ◽  
Li-Yan Zhang ◽  
Jun Lin
Keyword(s):  
Spectral Sensitivity ◽  
Condition Number ◽  
Multispectral Imaging ◽  
Linear Independence ◽  
Large Set ◽  
Geometric Features ◽  
Transmittance Curve ◽  
Imaging Simulation ◽  
Selection For ◽  
Imaging Sensors

Previous research has shown that the effectiveness of selecting filter set from a large set of commercial broadband filters by vector analyzing method based on maximum linear independence (MLI). However, the traditional MLI is suboptimal due to predefining the first filter of the selected filter set being the maximum ℓ2 norm among all those of the filters. An exhaustive imaging simulation is conducted to investigate the features of the most competent filter set. In the simulation, every filter in a subset of all the filters is selected serving as the first filter in turn. From the results of the simulation, we found there are remarkable characteristics for the most competent filter set. Besides smaller condition number, the geometric features of the best-performed filter set comprise the distinct peak of the transmittance of the first filter, the generally uniform distributing of the peaks of the transmittance curve of the filters, the substantial overlapping of the transmittance curves with those of the adjacent filer sets. Therefore, the best-performed filter sets can be decided intuitively by simple vector analyzing and just a few experimental verifications. This work would be useful for optimizing spectral sensitivity of broadband multispectral imaging sensors or SFA sensors.

Multispectral imaging sensors integrated on silicon

SPIE Newsroom ◽  
2013 ◽  
Author(s):  
Jacopo Frigerio ◽  
Giovanni Isella ◽  
Sergio Bietti ◽  
Stefano Sanguinetti
Keyword(s):  
Multispectral Imaging ◽  
Imaging Sensors

scholarly journals Updating Absolute Radiometric Characteristics for KOMPSAT-3 and KOMPSAT-3A Multispectral Imaging Sensors Using Well-Characterized Pseudo-Invariant Tarps and Microtops II

2018 ◽  
Vol 10 (5) ◽  
pp. 697 ◽  
Author(s):  
Jong-Min Yeom ◽  
Jonghan Ko ◽  
Jisoo Hwang ◽  
Chang-Suk Lee ◽  
Chul-Uong Choi ◽  
...  
Keyword(s):  
Multispectral Imaging ◽  
Imaging Sensors ◽  
Radiometric Characteristics

scholarly journals GEOMETRIC CALIBRATION AND RADIOMETRIC CORRECTION OF THE MAIA MULTISPECTRAL CAMERA

2017 ◽  
Vol XLII-3/W3 ◽  
pp. 149-156 ◽  
Author(s):  
E. Nocerino ◽  
M. Dubbini ◽  
F. Menna ◽  
F. Remondino ◽  
M. Gattelli ◽  
...  
Keyword(s):  
Near Infrared ◽  
Multispectral Imaging ◽  
Low Cost ◽  
Electromagnetic Spectrum ◽  
Radiometric Correction ◽  
Geometric Calibration ◽  
Remote Sensing Technique ◽  
Band Pass ◽  
Imaging Sensors ◽  
Multispectral Camera

Multispectral imaging is a widely used remote sensing technique, whose applications range from agriculture to environmental monitoring, from food quality check to cultural heritage diagnostic. A variety of multispectral imaging sensors are available on the market, many of them designed to be mounted on different platform, especially small drones. This work focuses on the geometric and radiometric characterization of a brand-new, lightweight, low-cost multispectral camera, called MAIA. The MAIA camera is equipped with nine sensors, allowing for the acquisition of images in the visible and near infrared parts of the electromagnetic spectrum. Two versions are available, characterised by different set of band-pass filters, inspired by the sensors mounted on the WorlView-2 and Sentinel2 satellites, respectively. The camera details and the developed procedures for the geometric calibrations and radiometric correction are presented in the paper.

scholarly journals Future long-term night sky monitoring projects shall use multispectral imaging sensors when possible

2021 ◽  
Vol 46 ◽  
pp. 133-146
Author(s):  
Kai Pong Tong ◽  
Zoltán Kolláth
Keyword(s):  
Rural Areas ◽  
Multispectral Imaging ◽  
Multispectral Images ◽  
Digital Cameras ◽  
Night Sky ◽  
Sky Radiance ◽  
Imaging Sensors ◽  
The Impact ◽  
The City

Interest in investigation of the impact of light pollution on ecology leads to a surge of observations and measurements. This article presents the measurement of the night sky radiance in over a period of 4.5 years in the city of Bremen, Germany from two sites situated in suburban and rural areas. It was found that both sites show a decreasing trend in sky radiance. However, since no multispectral images were taken, the exact cause of the decrease cannot be determined. It is therefore recommended that future night sky measurements should be based on multispectral imaging, for example by commercial digital cameras.

Multispectral Imaging to define morpho-molecular classes of human HCC

2020 ◽  
Author(s):  
T Ritz ◽  
J Baues ◽  
O Krenkel ◽  
P Schirmacher ◽  
T Longerich
Keyword(s):  
Multispectral Imaging
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