Results 41 to 50 of about 17,988 (159)
The study of brain science is vital to human health. The application of hyperspectral imaging in biomedical fields has grown dramatically in recent years due to their unique optical imaging method and multidimensional information acquisition ...
Yue Wu +5 more
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Analysis of Hyperspectral Data to Develop an Approach for Document Images
Hyperspectral data analysis is being utilized as an effective and compelling tool for image processing, providing unprecedented levels of information and insights for various applications.
Zainab Zaman +2 more
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Spectral-Enhanced Sparse Transformer Network for Hyperspectral Super-Resolution Reconstruction
Hyperspectral image (HSI) has garnered increasing attention due to its capacity for capturing extensive spectral information. However, the acquisition of high spatial resolution HSIs is often restricted by current imaging hardware limitations.
Yuchao Yang +6 more
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Hedde et al. demonstrate the use of ultrafast phasor-based hyperspectral snapshot microscopy for biomedical imaging. This technique can improve imaging speed by 10-100 fold and enables 3D hyperspectral imaging of live tissues without using expensive and ...
Per Niklas Hedde +4 more
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MEETNet: Morphology-Edge Enhanced Triple-Cascaded Network for Infrared Small Target Detection
Infrared small target detection is focused on accurately identifying tiny targets with low signal-to-noise ratio against complex backgrounds, representing a critical challenge in the field of infrared image processing. Existing approaches frequently fail
Enyu Zhao +4 more
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The snapshot hyperspectral imaging is an emerging technique with numerous applications. However, the hyperspectral imaging reconstruction is often time-consuming, which is placing a limit on the development of snapshot hyperspectral imaging.
Chunsheng Wei +4 more
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Editorial for Special Issue “Hyperspectral Imaging and Applications”
Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging.
Chein-I Chang +3 more
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Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection
Anomaly detection is susceptible to complex background and interference noise. Local anomaly detection and collaborative representation detection can effectively suppress background.
Meiping Song +5 more
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Chromatic Dispersion Based Wide-Band, Fiber-Coupled, Tunable Light Source for Hyperspectral Imaging
Hyperspectral imaging is a powerful label-free imaging technique that provides topological and spectral information at once. In this work, we have designed and characterized a hyperspectral source based on the chromatic dispersion property of off-the ...
Gargi Sharma +3 more
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Correlation Hyperspectral Imaging
Hyperspectral imaging aims at providing information on both the spatial and the spectral distribution of light, with high resolution. However, state-of-the-art protocols are characterized by an intrinsic trade-off imposing to sacrifice either resolution or image acquisition speed.
Gianlorenzo Massaro +2 more
openaire +4 more sources

