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High dimensional kullback-leibler divergence for grassland management practices classification from high resolution satellite image time series

Lopes, Maïlys and Fauvel, Mathieu and Girard, Stéphane and Sheeren, David High dimensional kullback-leibler divergence for grassland management practices classification from high resolution satellite image time series. (2016) In: IEEE International Geoscience And Remote Sensing Symposium - IGARSS 2016, 10 July 2016 - 15 July 2016 (Beijing, China).

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Official URL: http://dx.doi.org/10.1109/IGARSS.2016.7729864

Abstract

The aim of this study is to build a model suitable to classify grassland management practices using satellite image time series with high spatial resolution. The study site is located in southern France where 52 parcels with three management types were selected. The NDVI computed from a Formosat 2 intra-annual time series of 17 images was used. To work at the parcel scale while accounting for the spectral variability inside the grasslands, the pixels signal distribution is modeled by a Gaussian distribution. To deal with the small ground sample size compared to the large number of variables, a parsimonious Gaussian model is used. A high dimensional symmetrized Kullback-Leibler divergence (KLD) is introduced to compute the similarity between each pair of grasslands. Our proposed model provides better results than the conventional KLD in terms of classification accuracy using SVM.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The final publication is available at http://dx.doi.org/10.1109/IGARSS.2016.7729864.
HAL Id:hal-01520338
ProdINRA Id:374584
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Institut National de la Recherche Agronomique - INRA (FRANCE)
French research institutions > Institut National de la Recherche en Informatique et en Automatique - INRIA (FRANCE)
Other partners > Université Grenoble Alpes - UGA (FRANCE)
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Deposited By: INRA INRA
Deposited On:10 May 2017 11:22

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