Abstract
Hyperspectral images have huge data volume that contains spectral and spatial information. This high data volume leads to processing, storage, and transmission problems. Moreover, insufficient training data results in Hughes phenomenon. It is possible to solve these problems with the help of feature selection. In this paper, a method that evaluates the clustering performance of spectral bands is proposed as a pre-processing operation in order to realize feature selection. This method is clustering each spectral band based on 'dominant sets' technique and it evaluates the clustering performance of each band. The proposed method is time efficient since it works on a small set of training data instead of the whole hyperspectral data. In this study, 'dominant sets' technique is first applied to hyperspectral image processing as a clustering method.
Translated title of the contribution | Evaluation of clustering performance of hyperspectral bands |
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Original language | Turkish |
Title of host publication | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2497-2500 |
Number of pages | 4 |
ISBN (Electronic) | 9781467373869 |
DOIs | |
Publication status | Published - 19 Jun 2015 |
Externally published | Yes |
Event | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Duration: 16 May 2015 → 19 May 2015 |
Publication series
Name | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
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Conference
Conference | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 |
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Country/Territory | Turkey |
City | Malatya |
Period | 16/05/15 → 19/05/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.