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Infrared upconversion hyperspectral imaging
Optics Letters, 2015In this Letter, hyperspectral imaging in the mid-IR spectral region is demonstrated based on nonlinear frequency upconversion and subsequent imaging using a standard Si-based CCD camera. A series of upconverted images are acquired with different phase match conditions for the nonlinear frequency conversion process.
Louis Martinus, Kehlet +3 more
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Hyperspectral integrated computational imaging
Analytical and Bioanalytical Chemistry, 2005In the past, optics has served mainly to render the world more easily visible to humans. Now, computers are increasingly employed to make sense of the visual world in ways that people cannot. With a new generation of optics, scientists and engineers are recasting visual scenes for interpretation exclusively by computers.
Lisa A, Cassis +2 more
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Deep Hyperspectral Image Sharpening
IEEE Transactions on Neural Networks and Learning Systems, 2018Hyperspectral image (HSI) sharpening, which aims at fusing an observable low spatial resolution (LR) HSI (LR-HSI) with a high spatial resolution (HR) multispectral image (HR-MSI) of the same scene to acquire an HR-HSI, has recently attracted much attention.
Renwei Dian +3 more
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Spaceborne Hyperspectral Image Generation based on Airborne Hyperspectral Image
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008In order to support spaceborne hyperspectral sensor system design, an end-to-end simulation model for spaceborne hyperspectral image generation starting from the airborne image has been developed in this paper. Airborne image after being resampled both in the space and spectrum performs as the at-sensor radiance that is the input of the sensor model ...
Junping Zhang +3 more
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SPIE Proceedings, 2000
Hyperspectral imaging has emerged as a useful technology for target recognition and anomaly detection. However, passive hyperspectral sensors in the VNIR/SWIR are limited to daytime and fair weather operations. Furthermore, for applications such as material identification, the need for reflectance spectra requires either inscene calibration panels or ...
Melissa L. Nischan +8 more
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Hyperspectral imaging has emerged as a useful technology for target recognition and anomaly detection. However, passive hyperspectral sensors in the VNIR/SWIR are limited to daytime and fair weather operations. Furthermore, for applications such as material identification, the need for reflectance spectra requires either inscene calibration panels or ...
Melissa L. Nischan +8 more
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2020
Hyperspectral imaging (HSI) is a powerful imaging technique for biomedical applications, such as disease detection, diagnosis, and surgery assistance. HSI provides a three-dimensional dataset (two spatial and one spectral), which allows to obtain spectral curve at each pixel in acquired images.
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Hyperspectral imaging (HSI) is a powerful imaging technique for biomedical applications, such as disease detection, diagnosis, and surgery assistance. HSI provides a three-dimensional dataset (two spatial and one spectral), which allows to obtain spectral curve at each pixel in acquired images.
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Predicting near-infrared hyperspectral images from visible hyperspectral images
Journal of Image and Graphics, 2021Mei Shaohui +3 more
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