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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.
openaire +1 more source
A visual–language foundation model for pathology image analysis using medical Twitter
Nature Medicine, 2023, Thomas J Montine, James Y Zou
exaly
Predicting near-infrared hyperspectral images from visible hyperspectral images
Journal of Image and Graphics, 2021Mei Shaohui +3 more
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