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Hyperspectral SAR

IEEE Transactions on Geoscience and Remote Sensing, 2017
Matthew Ferrara   +2 more
openaire   +1 more source

Sparse Demixing of Hyperspectral Images

IEEE Transactions on Image Processing, 2012
In the LMM for hyperspectral images, all the image spectra lie on a high-dimensional simplex with corners called endmembers. Given a set of endmembers, the standard calculation of fractional abundances with constrained least squares typically identifies the spectra as combinations of most, if not all, endmembers.
openaire   +2 more sources

The inpainting of hyperspectral images: a survey and adaptation to hyperspectral data

SPIE Proceedings, 2012
In this work, we survey image reconstruction methods for hyperspectral imagery. First, a review of image interpolation methods, both linear and nonlinear, is given. Second, image inpainting methods, especially from the variational perspective, are analyzed with respect to their suitability for hyperspectral inpainting.
openaire   +1 more source

Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework

IEEE Transactions on Geoscience and Remote Sensing, 2018
Zilong Zhong   +3 more
semanticscholar   +1 more source

Hyperspectral-cube-based mobile face recognition: A comprehensive review

Information Fusion, 2021
Xianyi Zhang, Haitao Zhao
exaly  

Deep Learning-Based Classification of Hyperspectral Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
Yushi Chen   +4 more
semanticscholar   +1 more source

Hyperspectral Pigment Dataset

2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2022
openaire   +1 more source

Applications of hyperspectral imaging technology in the food industry

Nature Reviews Electrical Engineering
Da‐Wen Sun, Hongbin Pu, Jingxiao Yu
semanticscholar   +1 more source

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