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The EnMAP contest: developing and comparing classification approaches for the Environmental Mapping and Analysis Programme - Dataset and first results

Braun, A. C.; Weinmann, M.; Keller, S.; Müller, R.; Reinartz, P.; Hinz, S.


The Environmental Mapping and Analysis Programme EnMAP is a hyperspectral satellite mission, supposed to be launched into space
in the near future. EnMAP is designed to be revolutionary in terms of spectral resolution and signal-to-noise ratio. Nevertheless, it will
provide a relatively high spatial resolution also. In order to exploit the capacities of this future mission, its data have been simulated by
other authors in previous work. EnMAP will differ from other spaceborne and airborne hyperspectral sensors. Thus, the assumption
that the standard classification algorithms from other sensors will perform best for EnMAP as well cannot by upheld since proof.
Unfortunately, until today, relatively few studies have been published to investigate classification algorithms for EnMAP. Thus, the
authors of this study, who have provided some insights into classifying simulated EnMAP data before, aim to encourage future studies
by opening the EnMAP contest. The EnMAP contest consists in a benchmark dataset provided for algorithm development, which is
presented herein. For demonstrative purposes, this report also represents two classification results which have already been realized. ... mehr

DOI: 10.5194/isprsarchives-XL-3-W3-169-2015
Zitationen: 4
Zitationen: 5
Zugehörige Institution(en) am KIT Institut für Photogrammetrie und Fernerkundung (IPF)
Institut für Regionalwissenschaft (IFR)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2015
Sprache Englisch
Identifikator ISSN: 2194-9034
KITopen-ID: 1000064289
Erschienen in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Geospatial Week 2015; La Grande Motte; France; 28 September 2015 through 3 October 2015. Ed.: N. Paparoditis
Verlag International Society for Photogrammetry and Remote Sensing (ISPRS)
Seiten 169–175
Serie International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives ; 40 / 3W3
Bemerkung zur Veröffentlichung ISPRS Geospatial Week 2015, 28 Sep – 03 Oct 2015, La Grande Motte, France
Schlagwörter Hyperspectral Imaging, EnMAP, Classification, Benchmark Datasets, Evaluation Methodology
Nachgewiesen in Dimensions
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