Create the relevant spatial filterbank in the hyperspectral jungle

Details

Serval ID
serval:BIB_FE196DD7089D
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Create the relevant spatial filterbank in the hyperspectral jungle
Title of the conference
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium IGARSS, Melbourne, Australia
Author(s)
Tuia D., Volpi M., Dalla Mura  M., Rakotomamonjy A., Flamary R.
Publisher
IEEE Conference Publications
Publication state
Published
Issued date
2013
Pages
4 p.
Language
english
Notes
Tuia2013a
Abstract
Inclusion of spatial information is known to be beneficial to the
classification of hyperspectral images. However, given the high dimensionality
of the data, it is difficult to know before hand which are the bands
to filter or what are the filters to be applied. In this paper, we
propose an active set algorithm based on a l1 support vector machine
that explores the (possibily infinite) space of spatial filters and
retrieve automatically the filters that maximize class separation.
Experiments on hyperspectral imagery confirms the power of the method,
that reaches state of the art performance with small feature sets
generated automatically and without prior knowledge.
Create date
25/11/2013 18:23
Last modification date
21/08/2019 6:16
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