Parallel sparse unmixing of hyperspectral data

In this paper, a new parallel method for sparse spectral unmixing of remotely sensed hyperspectral data on commodity graphics processing units (GPUs) is presented. A semi-supervised approach is adopted, which relies on the increasing availability of spectral libraries of materials measured on the gr...

Full description

Bibliographic Details
Main Author: Alves, José M. Rodriguez (author)
Other Authors: Nascimento, Jose (author), Bioucas-Dias, José M. (author), Plaza, António (author), Silva, Vítor (author)
Format: conferenceObject
Language:eng
Published: 2017
Subjects:
Hyperspectral unmixing
Sparse regression
Graphics processing unit
Parallel methods
Online Access:http://hdl.handle.net/10400.21/7609
Country:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/7609

Internet

http://hdl.handle.net/10400.21/7609

Similar Items