Unsupervised methods for the classification of hyperspectral images with low spatial resolution-Reference-Cited by-同舟云学术

Unsupervised methods for the classification of hyperspectral images with low spatial resolution

Published:2013-06 Issue:6 Volume:46 Page:1556-1568
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Villa A.,Chanussot J.,Benediktsson J.A.,Jutten C.,Dambreville R.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference39 articles.

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4. Super-resolution target mapping from soft-classified remote sensed imagery;Atkinson;Photogrammetric Engineering & Remote Sensing,2005

5. Comparison of the multilayer perceptron with neuro-fuzzy techniques in the estimation of cover class mixture in remotely sensed data;Baraldi;IEEE Transactions on Geoscience & Remote Sensing,2001

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