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A data-driven approach to quality assessment for hyperspectral systems

Kerr, Grégoire Henry Gérard and Fischer, Christian and Reulke, Ralf (2015) A data-driven approach to quality assessment for hyperspectral systems. Computers & Geosciences, 83, pp. 100-109. Elsevier. doi: 10.1016/j.cageo.2015.07.004. ISSN 0098-3004.

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Official URL: http://www.sciencedirect.com/science/article/pii/S0098300415300121


The increasing use of products based on airborne hyperspectral data for decision-making calls for a thorough quality assessment. Due to the complexity of the corresponding processing chain, as well as the variety of physical processes involved, such a task is usually only performed in specific cases and on specific parts of the processing chain. In particular, the quality assessment of data-products is still an open issue. A generic quality assessment method – based on an cross-comparison of errors – is proposed in this paper. Airborne hyperspectral – also called imaging spectroscopy – data is commonly acquired by means of whisk- or push-broom sensors, and requires several strips – or flight-lines – to cover the full area of interest. A comparison of the discrepancies between overlapping parts of these flight-lines is used to retrieve an assessment of the measurement reproducibility. This mapping can be performed on pre-processed data which avoids the need to separately investigate all input parameters and their associated models, hence bypassing the ‘curse of dimensionality’. The first step involves retrieving the pairs of pixels corresponding to the same areas imaged from overlapping flight-lines. Even when an ortho-rectification of the data has been carried out, various phenomena, such as errors in the underlying digital elevation model, lead to flight-line mis-registrations. For heterogeneous land-covers, a pixel to pixel registration step has therefore to be performed in order to allow a cross-comparison of pixels: a suitable methodology is proposed along with its validation. The second step corresponds to the relative errors analysis itself. A set of quantitative quality indicators – corresponding to different types of land-products – is presented. These methods are illustrated with an example along with a discussion. This approach can be used on any reasonably well contrasted scene to retrieve a quality assessment for any raster product independently of its data type as well as for the reflectance data itself.

Item URL in elib:https://elib.dlr.de/97420/
Document Type:Article
Title:A data-driven approach to quality assessment for hyperspectral systems
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Journal or Publication Title:Computers & Geosciences
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 100-109
Keywords:Airborne remote sensing; Hyperspectral; Imaging spectroscopy; Quality assessment; HySpex
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:German Remote Sensing Data Center > Land Surface
Institute of Optical Sensor Systems > Optics, Calibration and Validation
Deposited By: Kerr, Dr Grégoire Henry Gérard
Deposited On:22 Jul 2015 11:09
Last Modified:27 Nov 2023 14:17

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