OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

LiDAR-driven spatial regularization for hyperspectral unmixing

Uezato, Tatsumi and Fauvel, Mathieu and Dobigeon, Nicolas LiDAR-driven spatial regularization for hyperspectral unmixing. (2018) In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), 23 July 2018 - 27 July 2018 (Valencia, Spain).

[img]
Preview
(Document in English)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1MB

Official URL: https://doi.org/10.1109/IGARSS.2018.8518741

Abstract

Only a few research works consider LiDAR data while conducting hyperspectral image unmixing. However, the digital surface model derived from LiDAR can provide meaningful information, in particular when spatially regularizing the inverse problem underlain by spectral unmixing. This paper proposes a general framework for spectral unmixing that incorporates LiDAR data to inform the spatial regularization applied to the abundance maps. The proposed framework is validated and compared to existing unmixing methods that incorporate spatial information derived from the hyperspectral image itself using two different simulated data and digital surface models. Results show that the spatial regularization incorporating LiDAR data significantly improves abundance estimates.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in Proceedings of IGARSS 2018 Electronic ISBN: 978-1-5386-7150-4 Electronic ISSN: 2153-7003 The original PDF of the article can be found at: https://ieeexplore.ieee.org/document/8518741 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-02319750
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Institut National de la Recherche Agronomique - INRA (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Funders:
European Union FP7 through the ERANETMED JC-WATER program (Europe) - ANR : Agence nationale de la recherche (France) - Toulouse INP : Institut national polytechnique de Toulouse (France)
Statistics:download
Deposited On:03 Oct 2019 14:47

Repository Staff Only: item control page