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Article Dans Une Revue Pattern Recognition Letters Année : 2015

Long term analysis of time series of satellite images

Résumé

Satellite images allow the acquisition of large-scale ground vegetation. Images are available along several years with a high acquisition rate. Such data are called satellite image time series (SITS). We present a method to analyse an SITS through the characterization of the evolution of a vegetation index (NDVI) at two scales: annual and multi-annual. We evaluate our method on SITS of the Senegal from 2001 to 2008 and we compare our method to a clustering of long time series. The results show that our method better discriminates regions in the median zone of Senegal and locates fine interesting areas.
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hal-01239504 , version 1 (08-12-2015)

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Thomas Guyet, Hervé Nicolas. Long term analysis of time series of satellite images. Pattern Recognition Letters, 2015, 70, pp.17-23. ⟨10.1016/j.patrec.2015.11.005⟩. ⟨hal-01239504⟩
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