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Proceedings Paper

Spectral unmixing of urban land cover using a generic library approach
Author(s): Jeroen Degerickx; Marian-Daniel Lordache; Akpona Okujeni; Martin Hermy; Sebastian van der Linden; Ben Somers
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Paper Abstract

Remote sensing based land cover classification in urban areas generally requires the use of subpixel classification algorithms to take into account the high spatial heterogeneity. These spectral unmixing techniques often rely on spectral libraries, i.e. collections of pure material spectra (endmembers, EM), which ideally cover the large EM variability typically present in urban scenes. Despite the advent of several (semi-) automated EM detection algorithms, the collection of such image-specific libraries remains a tedious and time-consuming task. As an alternative, we suggest the use of a generic urban EM library, containing material spectra under varying conditions, acquired from different locations and sensors. This approach requires an efficient EM selection technique, capable of only selecting those spectra relevant for a specific image. In this paper, we evaluate and compare the potential of different existing library pruning algorithms (Iterative Endmember Selection and MUSIC) using simulated hyperspectral (APEX) data of the Brussels metropolitan area. In addition, we develop a new hybrid EM selection method which is shown to be highly efficient in dealing with both imagespecific and generic libraries, subsequently yielding more robust land cover classification results compared to existing methods. Future research will include further optimization of the proposed algorithm and additional tests on both simulated and real hyperspectral data.

Paper Details

Date Published: 26 October 2016
PDF: 13 pages
Proc. SPIE 10008, Remote Sensing Technologies and Applications in Urban Environments, 100080L (26 October 2016); doi: 10.1117/12.2241189
Show Author Affiliations
Jeroen Degerickx, KU Leuven (Belgium)
Marian-Daniel Lordache, VITO TAP (Belgium)
Akpona Okujeni, Humboldt-Univ. zu Berlin (Germany)
Martin Hermy, KU Leuven (Belgium)
Sebastian van der Linden, Humboldt-Univ. zu Berlin (Germany)
Ben Somers, KU Leuven (Belgium)


Published in SPIE Proceedings Vol. 10008:
Remote Sensing Technologies and Applications in Urban Environments
Thilo Erbertseder; Thomas Esch; Nektarios Chrysoulakis, Editor(s)

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