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A Classification Algorithm for Hyperspectral Data based on Synergetics Theory

Cerra, Daniele and Müller, Rupert and Reinartz, Peter (2012) A Classification Algorithm for Hyperspectral Data based on Synergetics Theory. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, I-7, pp. 71-76. Copernicus Publications. XXII ISPRS Congress, 25. Aug. – 01. Sep. 2012, Melbourne, Australia. ISSN 2194-9042

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Official URL: http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-7/71/2012/isprsannals-I-7-71-2012.pdf

Abstract

This paper presents a new classification methodology for hyperspectral data based on synergetics theory, which describes the spontaneous formation of patterns and structures in a system through self-organization. We introduce a representation for hyperspectral data, in which a spectrum can be projected in a space spanned by a set of user-defined prototype vectors, which belong to some classes of interest. Each test vector is attracted by a final state associated to a prototype, and can be thus classified. As typical synergetics-based systems have the drawback of a rigid training step, we modify it to allow the selection of user-defined training areas, used to weight the prototype vectors through attention parameters and to produce a more accurate classification map through majority voting of independent classifications. Results are comparable to state of the art classification methodologies, both general and specific to hyperspectral data and, as each classification is based on a single training sample per class, the proposed technique would be particularly effective in tasks where only a small training dataset is available.

Item URL in elib:https://elib.dlr.de/78229/
Document Type:Conference or Workshop Item (Speech)
Title:A Classification Algorithm for Hyperspectral Data based on Synergetics Theory
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cerra, DanieleMF-PBUNSPECIFIED
Müller, RupertMF-PBUNSPECIFIED
Reinartz, PeterMF-PBUNSPECIFIED
Date:2012
Journal or Publication Title:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:I-7
Page Range:pp. 71-76
Editors:
EditorsEmail
Shortis, M.UNSPECIFIED
Wagner, W.UNSPECIFIED
Hyppä, J.UNSPECIFIED
Publisher:Copernicus Publications
Series Name:ISPRS Annals
ISSN:2194-9042
Status:Published
Keywords:Hyperspectral image analysis, synergetics theory.
Event Title:XXII ISPRS Congress
Event Location:Melbourne, Australia
Event Type:international Conference
Event Dates:25. Aug. – 01. Sep. 2012
Organizer:International Society for Photogrammetry and Remote Sensing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Cerra, Daniele
Deposited On:05 Nov 2012 14:34
Last Modified:31 Jul 2019 19:38

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