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Quality Assessment for Hyperpspectral Airborne Systems

Kerr, Gregoire, H. G. (2015) Quality Assessment for Hyperpspectral Airborne Systems. Dissertation, Humboldt-Universität zu Berlin.

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Official URL: http://edoc.hu-berlin.de/dissertationen/kerr-gregoire-henry-gerard-2015-07-30/PDF/kerr.pdf


In order to produce validated, and therefore reliable, products based on hyperspectral airborne imagery, it is necessary to first characterise the data quality itself. Since airborne hyperspectral imagery is usually acquired in several partially overlapping flight-lines, one can use this information redundancy to retrieve the imagery’s internal variability. However, in practice, the geo-locations assigned to each pixel is not error-free. A first step therefore consists in retrieving the relative variability of the pixel’s geo-locations, hence providing pairs of pixels imaging the same geo-locations. In a second time, these pairs of pixels are used to obtain ’quality indicators’ assessing the quality of land-products in terms of reproducibility. Several other cated indicators are also proposed, as well as means to obtain their corresponding confidence intervals and their suitability is discussed. The third stage of this analysis consists in studying whether it is possible to use these reliability results to improve the mapping results. A generic approach based on optimising reliability over the mapping parameters is proposed. The final step consists of using specific flight-lines setups in order to retrieve the reflectance' variability by means of a blind-deconvolution approach.

Item URL in elib:https://elib.dlr.de/98925/
Document Type:Thesis (Dissertation)
Title:Quality Assessment for Hyperpspectral Airborne Systems
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Kerr, Gregoire, H. G.Gregoire.Kerr (at) dlr.deUNSPECIFIED
Date:August 2015
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Number of Pages:250
Keywords:Hyperspectral imagery, Airborne Remote Sensing, Quality assessment, L3-products, Signal Processing, HySpex
Institution:Humboldt-Universität zu Berlin
Department:Mathematisch-Naturwissenschaftliche Fakultät
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 Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Fischer, Dr. Christian
Deposited On:04 Nov 2015 10:06
Last Modified:20 Jun 2021 15:46

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