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Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 2003
The shortcomings of the conventional three-channel imaging are rooted in metamerism problems. To avoid these problems multispectral imaging is introduced as an complementary approach. This imaging technology uses the complete spectral information of the original image, and, hence, avoids the problems due to metamerism.
F. Konig, W. Praefcke
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The shortcomings of the conventional three-channel imaging are rooted in metamerism problems. To avoid these problems multispectral imaging is introduced as an complementary approach. This imaging technology uses the complete spectral information of the original image, and, hence, avoids the problems due to metamerism.
F. Konig, W. Praefcke
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Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion
IEEE Transactions on Cybernetics, 2019Combining a high-spatial-resolution multispectral image (HR-MSI) with a low-spatial-resolution hyperspectral image (LR-HSI) has become a common way to enhance the spatial resolution of the HSI.
Renwei Dian +4 more
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Multispectral image compression
Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 2002Image compression has been one of the mainstream research topics in image processing. The research usually focuses on compressing images that are visible to humans. Images are usually gray-level images or RGB color images. Advances in technology enable one to make the detailed processing of spectral color features in the images.
A. Kaarna +3 more
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IEEE Photonics Conference 2012, 2012
The Multispectral Imager combines parallel FPGA Hardware with modular and high dynamic mechanical design. Integrated processing and an interconnection to all electromechanical parts enable a real time image correction and processing with lowest latency time.
Marc Preissler +2 more
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The Multispectral Imager combines parallel FPGA Hardware with modular and high dynamic mechanical design. Integrated processing and an interconnection to all electromechanical parts enable a real time image correction and processing with lowest latency time.
Marc Preissler +2 more
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SPIE Proceedings, 2005
This paper describes the modeling of multispectral infrared sensors. The current NVESD infrared sensor model, NVTherm, models single spectral band sensors. The current NVTherm model is being updated to model third generation multispectral infrared sensors.
Jonathan Fanning +3 more
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This paper describes the modeling of multispectral infrared sensors. The current NVESD infrared sensor model, NVTherm, models single spectral band sensors. The current NVTherm model is being updated to model third generation multispectral infrared sensors.
Jonathan Fanning +3 more
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Multispectral Satellite Image Processing
2016Having begun in the 1970s with the American Landsat program, the use of optical satellite images for civilian purposes has since experienced significant technological advancements. In the space of 10 years, the images provided by Earth observation satellites have gone from high to very high spatial resolution, from a decametric resolution to a ...
Ose, K. +4 more
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Multispectral Imaging Simulation
SPIE Proceedings, 1987Current aircraft have a requirement to operate at night and in adverse weather where optical imaging systems are inoperable. Imaging sensors operating at other wavelengths have the potential to provide vision through severe weather, but these systems need to be simulated before assuming the technological and financial risks involved in hardware ...
Gene R. Loefer, Ken Q. Lao
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Pyramid Fully Convolutional Network for Hyperspectral and Multispectral Image Fusion
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019Low spatial resolution hyperspectral (LRHS) and high spatial resolution multispectral (HRMS) image fusion has been recognized as an important technology for enhancing the spatial resolution of LRHS image.
F. Zhou +3 more
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Boosting Structure Consistency for Multispectral and Multimodal Image Registration
IEEE Transactions on Image Processing, 2020Multispectral imaging plays a vital role in the area of computer vision and computational photography. As spectral band images can be misaligned due to imaging device movement or alternation, image registration is necessary to avoid spectral information ...
Sixi Cao +3 more
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Advances in Multispectral Confocal Imaging
Confocal, Multiphoton, and Nonlinear Microscopic Imaging, 2003Due to the tendencies in biological research towards multiple stainings and increased use of newly developed dyes like fluorescent proteins, the application areas of multispectral confocal imaging increase rapidly. We present here the most recent advances in this technology, particularly concerning but not limited to the excitation module, the ...
Volker Seyfried +3 more
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