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Superresolution reconstruction of hyperspectral images

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004
Hyperspectral images are used for aerial and space imagery applications including target detection, tracking, agricultural and natural resource exploration. Unfortunately, atmospheric scattering, secondary illumination, changing viewing angles and sensor noise degrade the quality of these images.
Toygar Akgun   +2 more
openaire   +1 more source

Hyperspectral image classification: A benchmark

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
Hyperspectral image classification, an astonishing tool to distinguish the land covers in remote sensed hyperspectral images, has been investigated by multiple disciplines such as geoscience, environmental science, mathematics, and computer vision.
Xudong Kang   +2 more
openaire   +1 more source

Object Detection in Hyperspectral Images

IEEE Signal Processing Letters, 2021
, Min Zhao, Xiuheng Wang
exaly  

Shadow Removal of Hyperspectral Remote Sensing Images With Multiexposure Fusion

IEEE Transactions on Geoscience and Remote Sensing, 2022
Puhong Duan, Shutao Li, Xudong Kang
exaly  

CloudScout: A Deep Neural Network for On-Board Cloud Detection on Hyperspectral Images

Remote Sensing, 2020
Luca Fanucci   +2 more
exaly  

A hybrid encryption model for the hyperspectral images: application to hyperspectral medical images

Multimedia Tools and Applications, 2023
Suvita Rani Sharma   +2 more
openaire   +1 more source

Pixel type classification based reversible data hiding for hyperspectral images

Knowledge-Based Systems, 2022
Zhibin Pan, Guojun Fan
exaly  

IMAGING | Hyperspectral Imaging

2005
M.L. Huebschman   +2 more
openaire   +1 more source

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