Noise Reduction in Hyperspectral Imagery: Overview and Application

Noise Reduction in Hyperspectral Imagery: Overview and Application

Hyperspectral remote sensing is based on measuring the scattered and reflected electromagnetic signals from the Earth’s surface emitted by the Sun. The received radiance at the sensor is usually degraded by atmospheric effects and instrumental (sensor) noises which include thermal (Johnson) noise, q...

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Bibliographic Details
Main Authors: Behnood Rasti, Paul Scheunders, Pedram Ghamisi, Giorgio Licciardi, Jocelyn Chanussot
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Remote Sensing
Subjects:
classification
denoising
hyperspectral imaging
hyperspectral remote sensing
image analysis
image processing
inverse problems
low-rank
noise reduction
remote sensing
restoration
sparsity
sparse modeling
spectroscopy
Online Access:http://www.mdpi.com/2072-4292/10/3/482

Internet

http://www.mdpi.com/2072-4292/10/3/482

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