Parallel GPU architecture for hyperspectral unmixing based on augmented Lagrangian method

Hyperspectral imaging has become one of the main topics in remote sensing applications, which comprise hundreds of spectral bands at different (almost contiguous) wavelength channels over the same area generating large data volumes comprising several GBs per flight. This high spectral resolution can...

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Bibliographic Details
Main Author: Sevilla, Jorge (author)
Other Authors: Nascimento, Jose (author)
Format: conferenceObject
Language:eng
Published: 2016
Subjects:
Geophysical image processing
Graphics processing units
Hyperspectral imaging
Image resolution
Object detection
Parallel architectures
Remote sensing
Spectral analysis
Unsupervised learning
Online Access:http://hdl.handle.net/10400.21/6088
Country:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/6088

Internet

http://hdl.handle.net/10400.21/6088

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