IEEE Geoscience and Remote Sensing Magazine - September 2015 - 8
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The Time Variable in Data Fusion:
A Change Detection Perspective
Francesca Bovolo
Center for Information and Communication Technologies,
Fondazione Bruno Kessler, Via Sommarive, 18 I-38123, Povo, Trento, Italy
(e-mail: bovolo@fbk.eu)
lorenzo Bruzzone
Department of Information Engineering and Computer Science,
University of Trento, Via Sommarive, 5 I-38123, Povo, Trento, Italy
Abstract-This paper presents an overview on the image fusion concept in the context of multitemporal remote
sensing image processing. In the remote sensing literature,
multitemporal image analysis mainly deals with the detection of changes and land-cover transitions. Thus the paper
presents and analyses the most relevant literature contributions on these topics. From the perspective of change detection and detection of land-cover transitions, multitemporal
image analysis techniques can be divided into two main
Digital Object Identifier 10.1109/MGRS.2015.2443494
Date of publication: 5 October 2015
8
0274-6638/15©2015IEEE
groups: i) those based on the fusion of the multitemporal
information at feature level, and ii) those based on the fusion of the multitemporal information at decision level.
The former mainly exploit multitemporal image comparison techniques, which aim at highlighting the presence/
absence of changes by generating change indices. These
indices are then analyzed by unsupervised algorithms for
extracting the change information. The latter rely mainly
on classification and include both supervised and semi/
partially-supervised/unsupervised methods. The paper
focuses the attention on both standard (and largely used)
methods and techniques proposed in the recent literature.
ieee Geoscience and remote sensing magazine
september 2015
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