Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons-Reference-Cited by-同舟云学术

Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons

Published:2018-06-01 Issue:6 Volume:10 Page:864
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Martel Ernestina,Lazcano Raquel,López José,Madroñal Daniel,Salvador Rubén,López Sebastián,Juarez Eduardo,Guerra Raúl,Sanz César,Sarmiento Roberto

Funder

Ministerio de Economía y Competitividad

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/10/6/864/pdf

Reference31 articles.

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2. Hyperspectral Data Processing: Algorithm Design and Analysis;Chang,2013

3. Hyperspectral Data Exploitation: Theory and Applications;Chang,2007

4. Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

5. Hyperspectral Remote Sensing Data Analysis and Future Challenges

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