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Hyperspectral Anomaly Detection: A survey
IEEE Geoscience and Remote Sensing Magazine, 2022Hyperspectral imagery can obtain hundreds of narrow spectral bands of ground objects. The abundant and detailed spectral information offers a unique diagnostic identification ability for targets of interest.
Hongjun Su, Zhaoyue Wu, Huihui Zhang
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Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture
Remote Sensing, 2020 Remote sensing is a useful tool for monitoring spatio-temporal variations of crop morphological and physiological status and supporting practices in precision farming.
Bing Lu, Phuong D Dao, Jiangui Liu
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Hyperspectral Image Transformer Classification Networks
IEEE Transactions on Geoscience and Remote Sensing, 2022Hyperspectral image (HSI) classification is an important task in earth observation missions. Convolution neural networks (CNNs) with the powerful ability of feature extraction have shown prominence in HSI classification tasks. However, existing CNN-based
Xiaofei Yang +3 more
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Enhancing hyperspectral imaging
Nature Machine Intelligence, 2021Hyperspectral imaging can reveal important information without the need for staining. To extract information from this extensive data, however, new methods are needed that can interpret the spatial and spectral patterns present in the images.
Rohit Bhargava, Kianoush Falahkheirkhah
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A hyperspectral image projector for hyperspectral imagers
SPIE Proceedings, 2007We have developed and demonstrated a Hyperspectral Image Projector (HIP) intended for system-level validation testing of hyperspectral imagers, including the instrument and any associated spectral unmixing algorithms. HIP, based on the same digital micromirror arrays used in commercial digital light processing (DLP*) displays, is capable of projecting
Joseph P. Rice +3 more
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Compressed Hyperspectral Pansharpening
2020 IEEE International Conference on Image Processing (ICIP), 2020Hyperspectral (HS) imaging based on compressed sensing (CS) is actively studied to capture an HS image in one shot. Although CS can reconstruct an HS image from a much less number of random observations, capturing an HS image of high spatial and spectral resolution (HR-HS image) is still difficult because of current imaging systems.
Saori Takeyama, Shunsuke Ono
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2013
Hyperspectral cytometry is an emerging technology for single-cell analysis that combines ultrafast optical spectroscopy and flow cytometry. Spectral cytometry systems utilize diffraction gratings or prism-based monochromators to disperse fluorescence signals from multiple labels (organic dyes, nanoparticles, or fluorescent proteins) present in each ...
Gérald, Grégori +6 more
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Hyperspectral cytometry is an emerging technology for single-cell analysis that combines ultrafast optical spectroscopy and flow cytometry. Spectral cytometry systems utilize diffraction gratings or prism-based monochromators to disperse fluorescence signals from multiple labels (organic dyes, nanoparticles, or fluorescent proteins) present in each ...
Gérald, Grégori +6 more
openaire +2 more sources
Hyperspectral confocal microscope
Applied Optics, 2006We have developed a new, high performance, hyperspectral microscope for biological and other applications. For each voxel within a three-dimensional specimen, the microscope simultaneously records the emission spectrum from 500 nm to 800 nm, with better than 3 nm spectral resolution.
Michael B, Sinclair +3 more
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