Hiperspektral Bantlarin Kümeleme Performansinin Deʇerlendirilmesi

Translated title of the contribution: Evaluation of clustering performance of hyperspectral bands

Onur Haliloʇlu, Ufuk Sakarya, Behçet Uʇur Töreyin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 contributionEvaluation of clustering performance of hyperspectral bands
Original languageTurkish
Title of host publication2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2497-2500
Number of pages4
ISBN (Electronic)9781467373869
DOIs
Publication statusPublished - 19 Jun 2015
Externally publishedYes
Event2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey
Duration: 16 May 201519 May 2015

Publication series

Name2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

Conference

Conference2015 23rd Signal Processing and Communications Applications Conference, SIU 2015
Country/TerritoryTurkey
CityMalatya
Period16/05/1519/05/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

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