Multi-channel volume density neural radiance field for hyperspectral imaging
Scientific ReportsHyperspectral imaging and Neural Radiance Field (NeRF) can be combined in powerful ways. With limited hyperspectral images, NeRF can generate images of objects with spectral information from arbitrary viewpoints, which can effectively mitigate defects ...
Runchuan Ma, Sailing He
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Overlap-based feature weighting: The feature extraction of Hyperspectral remote sensing imagery [PDF]
Journal of Artificial Intelligence and Data Mining, 2015 Hyperspectral sensors provide a large number of spectral bands. This massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. Therefore, reducing the dimensionality of hyperspectral images
M. Imani, H. Ghassemian
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Visualizing Near Infrared Hyperspectral Images with Generative Adversarial Networks
Remote Sensing, 2020 The visualization of near infrared hyperspectral images is valuable for quick view and information survey, whereas methods using band selection or dimension reduction fail to produce good colors as reasonable as corresponding multispectral images.
Rongxin Tang, Hualin Liu, Jingbo Wei
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Remote Sensing, 2022 For many urban studies it is necessary to obtain remote sensing images with high hyperspectral and spatial resolution by fusing the hyperspectral and panchromatic remote sensing images.
Rui Zhao, Shihong Du
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Hyperspectral Image Change Detection Method Based on the Balanced Metric
SensorsChange detection, as a popular research direction for dynamic monitoring of land cover change, usually uses hyperspectral remote-sensing images as data sources. Hyperspectral images have rich spatial–spectral information, but traditional change detection
Xintao Liang +4 more
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LAND COVER CHANGE DETECTION BASED ON GENETICALLY FEATURE AELECTION AND IMAGE ALGEBRA USING HYPERION HYPERSPECTRAL IMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 The Earth has always been under the influence of population growth and human activities. This process causes the changes in land use. Thus, for optimal management of the use of resources, it is necessary to be aware of these changes.
S. T. Seydi, M. Hasanlou
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Correlation Hyperspectral Imaging
Physical Review LettersHyperspectral 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
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A General Deep Learning Point–Surface Fusion Framework for RGB Image Super-Resolution
Remote Sensing, 2023 Hyperspectral images are usually acquired in a scanning-based way, which can cause inconvenience in some situations. In these cases, RGB image spectral super-resolution technology emerges as an alternative.
Yan Zhang +3 more
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Full-scale semantic segmentation of hyperspectral imaging based on spatial spatial-spectral joint network [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesHyperspectral images contain dozens or even hundreds of spectral bands, which contain rich spectral information and help distinguish different ground objects.
H. Wu, H. Wu, C. Li, Y. Li
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An End-to-End Framework for the Classification of Hyperspectral Images in the Wood Domain
IEEE AccessHyperspectral images consist of a multitude of spectral bands for each pixel. Spectral bands provide information about wavelengths that may cover a larger spectrum of what the human eye may see.
Roberto Confalonieri +3 more
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