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New approaches on dimensionality reduction in hyperspectral images for classification purposes

Cerra, Daniele and Bieniarz, Jakub and Müller, Rupert and Reinartz, Peter (2012) New approaches on dimensionality reduction in hyperspectral images for classification purposes. In: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1413-1416. IEEE. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 22-27 July 2012, Munich, Germany.

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Abstract

This paper presents a quasi-unsupervised methodology to detect endmembers within an hyperspectral scene and to derive a pixel-wise classification on its basis. The endmember detection step takes as input an overcomplete spectral library, and detects the materials within a scene by analyzing derivative features under the sparsity assumption. The purest pixels for each detected material are then fed to a classifier based on synergetics theory, which is able to produce accurate classification maps on the basis of a restricted training dataset. As the classifier projects the image onto a subspace composed by the classes of interest found in the first step, a focused dimensionality reduction is performed in which every dimension is semantically meaningful.

Item URL in elib:https://elib.dlr.de/78822/
Document Type:Conference or Workshop Item (Speech)
Title:New approaches on dimensionality reduction in hyperspectral images for classification purposes
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cerra, DanieleMF-PBUNSPECIFIED
Bieniarz, JakubMF-PBUNSPECIFIED
Müller, RupertMF-PBUNSPECIFIED
Reinartz, PeterMF-PBUNSPECIFIED
Date:2012
Journal or Publication Title:Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1413-1416
Publisher:IEEE
Status:Published
Keywords:Hyperspectral image classification, sparsity, spectral unmixing, synergetics, endmember detection.
Event Title:IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Munich, Germany
Event Type:international Conference
Event Dates:22-27 July 2012
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 Spektrometrische Verfahren und Konzepte der Fernerkundung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Cerra, Daniele
Deposited On:26 Nov 2012 07:29
Last Modified:31 Jul 2019 19:38

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