Optimizing resolution efficiency for long-range EOIR multispectral 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.

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Multispectral imaging sensors integrated on silicon

SPIE Newsroom ◽

10.1117/2.1201307.004861 ◽

2013 ◽

Cited By ~ 1

Author(s):

Jacopo Frigerio ◽

Giovanni Isella ◽

Sergio Bietti ◽

Stefano Sanguinetti

Keyword(s):

Multispectral Imaging ◽

Imaging Sensors

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

Remote Sensing ◽

10.3390/rs10050697 ◽

2018 ◽

Vol 10 (5) ◽

pp. 697 ◽

Cited By ~ 4

Author(s):

Jong-Min Yeom ◽

Jonghan Ko ◽

Jisoo Hwang ◽

Chang-Suk Lee ◽

Chul-Uong Choi ◽

...

Keyword(s):

Multispectral Imaging ◽

Imaging Sensors ◽

Radiometric Characteristics

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Performance of PHOTONIS' low light level CMOS imaging sensors for long range observation

10.1117/12.2050614 ◽

2014 ◽

Cited By ~ 1

Author(s):

Loig E. Bourree

Keyword(s):

Long Range ◽

Light Level ◽

Low Light ◽

Imaging Sensors ◽

Range Observation

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GEOMETRIC CALIBRATION AND RADIOMETRIC CORRECTION OF THE MAIA MULTISPECTRAL CAMERA

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-3-w3-149-2017 ◽

2017 ◽

Vol XLII-3/W3 ◽

pp. 149-156 ◽

Cited By ~ 5

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.

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