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/ | |||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | |||||||||||||||
Title: | New approaches on dimensionality reduction in hyperspectral images for classification purposes | |||||||||||||||
Authors: |
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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 - Earth Observation | |||||||||||||||
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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