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Multisensor coupled spectral unmixing for time-series analysis

Yokoya, Naoto and Zhu, Xiao Xiang and Plaza, Antonio (2017) Multisensor coupled spectral unmixing for time-series analysis. IEEE Transactions on Geoscience and Remote Sensing, 55 (5), pp. 2842-2857. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/TGRS.2017.2655115 ISSN 0196-2892

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Official URL: http://ieeexplore.ieee.org/document/7862183/

Abstract

We present a new framework, called multisensor coupled spectral unmixing (MuCSUn), that solves unmixing Problems involving a set of multisensor time-series spectral images in order to understand dynamic changes of the surface at a subpixel scale. The proposed methodology couples multiple unmixing problems based on regularization on graphs between the timeseries data to obtain robust and stable unmixing solutions beyond data modalities due to different sensor characteristics and the effects of non-optimal atmospheric correction. Atmospheric normalization and cross-calibration of spectral response functions are integrated into the framework as a preprocessing step. The proposed methodology is quantitatively validated using a synthetic dataset that includes seasonal and trend changes on the surface and the residuals of non-optimal atmospheric correction. The experiments on the synthetic dataset clearly demonstrate the efficacy of MuCSUn and the importance of the preprocessing step. We further apply our methodology to a real time-series data set composed of 11 Hyperion and 22 Landsat-8 Images taken over Fukushima, Japan, from 2011 to 2015. The proposed methodology successfully obtains robust and stable unmixing results and clearly visualizes class-specific changes at a subpixel scale in the considered study area.

Item URL in elib:https://elib.dlr.de/107611/
Document Type:Article
Title:Multisensor coupled spectral unmixing for time-series analysis
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Yokoya, NaotoNaoto.Yokoya (at) dlr.deUNSPECIFIED
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Plaza, Antonioaplaza (at) unex.esUNSPECIFIED
Date:May 2017
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:55
DOI :10.1109/TGRS.2017.2655115
Page Range:pp. 2842-2857
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:Published
Keywords:Coupled spectral unmixing, multisensor data fusion, time-series analysis, change detection
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Yokoya, Naoto
Deposited On:29 Nov 2016 11:55
Last Modified:08 Mar 2018 18:35

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