NDLI: Efficient Satellite Image Time Series Analysis Under Time Warping

Content Provider	IEEE Xplore Digital Library
Author	Petitjean, F. Weber, J.
Copyright Year	2004
Abstract	Earth observation satellites are now providing images with short revisit cycle and high spatial resolution. The amount of produced data requires new methods that will give a sound temporal analysis while being computationally efficient. Dynamic time warping has proved to be a very sound measure to capture similarities in radiometric evolutions. In this letter, we show that its nonlinear distortion behavior is compatible with the use of a spatiotemporal segmentation of the data cube that is formed by a satellite image time series (SITS). While dealing with spatial and temporal dimensions of SITS at the same time had already proven to be very challenging, this letter proves that, by taking advantage of the spatial and temporal connectivities, both the performance and the quality of the analysis can be improved. Our method is assessed on a SITS of 46 Formosat -2 images sensed in 2006, with an average cloud cover of one third. We show that our approach induces the following: 1) sharply reduced memory usage; 2) improved classification results; and 3) shorter running time.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	1143
Ending Page	1147
Page Count	5
File Size	783898
File Format	PDF
ISSN	1545598X
Volume Number	11
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spatiotemporal phenomena Image segmentation Time series analysis Satellites Radiometry Atmospheric modeling Satellite broadcasting spatiotemporal segmentation Dynamic time warping (DTW) satellite image time series (SITS)
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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