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Investigation on the potential of hyperspectral and Sentinel-2 data for land-cover / land-use classification

Weinmann, M. 1; Maier, P. M. 1; Florath, J. 1; Weidner, U. 1
1 Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)


The automated analysis of large areas with respect to land-cover and land-use is nowadays typically performed based on the use of hyperspectral or multispectral data acquired from airborne or spaceborne platforms. While hyperspectral data offer a more detailed description of the spectral properties of the Earth’s surface and thus a great potential for a variety of applications, multispectral data are less expensive and available in shorter time intervals which allows for time series analyses. Particularly with the recent availability of multispectral Sentinel-2 data, it seems desirable to have a comparative assessment of the potential of both types of data for land-cover and land-use classification. In this paper, we focus on such a comparison and therefore involve both types of data. On the one hand, we focus on the potential of hyperspectral data and the commonly applied techniques for data-driven dimensionality reduction or feature selection based on these hyperspectral data. On the other hand, we aim to reason about the potential of Sentinel-2 data and therefore transform the acquired hyperspectral data to Sentinel-2-like data. For performance evaluation, we provide classification results achieved with the different types of data for two standard benchmark datasets representing an urban area and an agricultural area, respectively.

Verlagsausgabe §
DOI: 10.5445/IR/1000088371
Veröffentlicht am 10.12.2018
DOI: 10.5194/isprs-annals-IV-1-155-2018
Zitationen: 9
Zitationen: 9
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Photogrammetrie und Fernerkundung (IPF)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2018
Sprache Englisch
Identifikator ISSN: 2194-9042
KITopen-ID: 1000088371
Erschienen in 2018 ISPRS Technical Commission I Midterm Symposium on Innovative Sensing - From Sensors to Methods and Applications; Karlsruhe; Germany; 10 October 2018 through 12 October 2018. Ed.: S. Hinz
Verlag Curran
Seiten 155-162
Serie ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 4-1
Schlagwörter Classification, Land-cover/Land-use, Hyperspectral Data, Dimensionality Reduction, Feature Selection, Multispectral Data, Sentinel-2 Data
Nachgewiesen in Dimensions
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