Mr. Andreas Hueni Profile

Andreas Hueni

at Univ of Zürich

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Author

Publications (3)

Proceedings Article | 18 August 2009 Paper

Spectral Angle Mapper (SAM) for anisotropy class indexing in imaging spectrometry data

J. Weyermann, D. Schläpfer, A. Hueni, M. Kneubühler, M. Schaepman

Proceedings Volume 7457, 74570B (2009) https://doi.org/10.1117/12.825991

KEYWORDS: Reflectivity, Anisotropy, Sensors, Bidirectional reflectance transmission function, Vegetation, Imaging spectrometry, Detection and tracking algorithms, Image classification, Image processing, Spectroscopy

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Proceedings Article | 18 August 2009 Paper

SPECCHIO: a free spectral data management and processing system

A. Hueni, M. Kneubuehler

Proceedings Volume 7457, 74570A (2009) https://doi.org/10.1117/12.824695

KEYWORDS: Databases, Data storage, Calibration, Remote sensing, Java, Spectral data processing, Human-machine interfaces, Computing systems, Data processing, Imaging systems

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Proceedings Article | 13 October 2008 Paper

Evaluation of the atmospheric correction procedure for the APEX level 2/3 processor

Daniel Schläpfer, Jan Biesemans, Andreas Hueni, Koen Meuleman

Proceedings Volume 7107, 710709 (2008) https://doi.org/10.1117/12.799884

KEYWORDS: Atmospheric corrections, Reflectivity, Bidirectional reflectance transmission function, Aerosols, Visible radiation, Image processing, Hyperspectral imaging, Calibration, Data acquisition, Sensors

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The Airborne Prism Experiment (APEX) is a hyperspectral instrument built in a Swiss - Belgian collaboration within the ESA-PRODEX program. It aims at highest possible accuracy of its delivered surface reflectance image data products. The atmospheric correction of hyperspectral imagery is a critical element of a complete processing chain towards unbiased reflectance and for the creation of higher level products. As the first data of APEX is expected to become available in 2009, an appropriate processing chain for higher level processing needs to be defined and evaluated. Standard products have been identified in all application fields of hyperspectral imaging, i.e., geology, vegetation, cryosphere, limnology and atmosphere. They are being implemented at the APEX science center. The according processing procedures rely on data of well-defined processing states which range from calibrated at-sensor radiance to (bihemispherical) spectral albedo. In this paper, the atmospheric processing which is implemented as part of the automated data processing chain for level 2 in the APEX processing and archiving facility (PAF) at VITO (Mol, Belgium) is evaluated together with the ATCOR-4 atmospheric correction program. The evaluation is done regarding flexibility, reflectance output accuracy and processing efficiency. Two test data sets are taken for this purpose: a well-documented set of HYMAP data and a high resolution HYSPEX data set. Both data sets exhibit areas of overlap, which are taken for self-contained analysis of the atmospheric correction procedure. The accuracy tests include plausibility checks on selected regions of interest including a variety of known surfaces in the imagery. As some of the observed effects are related to BRDF differences, the results also give an indication for the inaccuracy related to these reflectance anisotropies. Speed measurements of the processing are then compared to the demand for operational processing of series of data acquisition. Further comparison information is drawn from the by-products of atmospheric correction such as water vapor distribution maps. The study shows performance and limitations of atmospheric correction using the state-of-the-art technology, which are mainly found in the field of BRDF effects. This points towards improvements to be implemented in course of the further development of the higher level processing chain for the APEX sensor.

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