Towards efficient satellite image time series analysis: Combination of dynamic time warping and quasi-flat zones

Jonathan Weber; Francois Petitjean; Pierre Gancarski

doi:10.1109/IGARSS.2012.6350401

Towards efficient satellite image time series analysis: Combination of dynamic time warping and quasi-flat zones

Jonathan Weber, Francois Petitjean, Pierre Gancarski

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

7 Citations (Scopus)

Abstract

Satellite Image Time Series (SITS, for short) are useful resources for Earth monitoring. Upcoming satellites will provide a global coverage of the Earth's surface with a short revisit time (five days); a huge amount of data to analyze will be produced. In order to be able to analyze efficiently and accurately these images, new methods have to be designed. In this article, we propose to combine a spatio-temporal segmentation pre-processing method - quasi-flat zones, which have been recently extended to video analysis - and the distortion power of DTW to simplify the representation of the SITS, in order to reduce both the time and the memory consumption. Experiments carried out on a series of 46 images show that the memory consumption can be reduced by an order of magnitude without reducing the relevance of the analysis.

Original language	English
Title of host publication	IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	4387-4390
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6350401
Publication status	Published - 2012
Externally published	Yes
Event	IEEE International Geoscience and Remote Sensing Symposium 2012 - International Congress Centre, Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012 Conference number: 32nd http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6334512 (IEEE Conference Proceedings)

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium 2012
Abbreviated title	IGARSS 2012
Country/Territory	Germany
City	Munich
Period	22/07/12 → 27/07/12
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6334512 (IEEE Conference Proceedings)

Keywords

Crops
Image classification
Image segmentation
Remote Sensing
Time series analysis

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10.1109/IGARSS.2012.6350401

Cite this

Weber, J., Petitjean, F., & Gancarski, P. (2012). Towards efficient satellite image time series analysis: Combination of dynamic time warping and quasi-flat zones. In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium (pp. 4387-4390). [6350401] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IGARSS.2012.6350401

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abstract = "Satellite Image Time Series (SITS, for short) are useful resources for Earth monitoring. Upcoming satellites will provide a global coverage of the Earth's surface with a short revisit time (five days); a huge amount of data to analyze will be produced. In order to be able to analyze efficiently and accurately these images, new methods have to be designed. In this article, we propose to combine a spatio-temporal segmentation pre-processing method - quasi-flat zones, which have been recently extended to video analysis - and the distortion power of DTW to simplify the representation of the SITS, in order to reduce both the time and the memory consumption. Experiments carried out on a series of 46 images show that the memory consumption can be reduced by an order of magnitude without reducing the relevance of the analysis.",

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author = "Jonathan Weber and Francois Petitjean and Pierre Gancarski",

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language = "English",

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publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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note = "IEEE International Geoscience and Remote Sensing Symposium 2012, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",

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Weber, J, Petitjean, F & Gancarski, P 2012, Towards efficient satellite image time series analysis: Combination of dynamic time warping and quasi-flat zones. in IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium., 6350401, IEEE, Institute of Electrical and Electronics Engineers, pp. 4387-4390, IEEE International Geoscience and Remote Sensing Symposium 2012, Munich, Berlin, Germany, 22/07/12. https://doi.org/10.1109/IGARSS.2012.6350401

Towards efficient satellite image time series analysis : Combination of dynamic time warping and quasi-flat zones. / Weber, Jonathan; Petitjean, Francois; Gancarski, Pierre.

IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, Institute of Electrical and Electronics Engineers, 2012. p. 4387-4390 6350401.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AB - Satellite Image Time Series (SITS, for short) are useful resources for Earth monitoring. Upcoming satellites will provide a global coverage of the Earth's surface with a short revisit time (five days); a huge amount of data to analyze will be produced. In order to be able to analyze efficiently and accurately these images, new methods have to be designed. In this article, we propose to combine a spatio-temporal segmentation pre-processing method - quasi-flat zones, which have been recently extended to video analysis - and the distortion power of DTW to simplify the representation of the SITS, in order to reduce both the time and the memory consumption. Experiments carried out on a series of 46 images show that the memory consumption can be reduced by an order of magnitude without reducing the relevance of the analysis.

KW - Crops

KW - Image classification

KW - Image segmentation

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Towards efficient satellite image time series analysis: Combination of dynamic time warping and quasi-flat zones

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