International audienceThis paper presents a segmentation method of satellite images time series (SITS) in coherent areas, i.e. in geographical regions having homogeneous temporal behavior. The aim of the method is firstly to extract space-time characteristics of an observed region and secondly to obtain this characterization efficiently in terms of computing cost. This method is applied to the characterization of agro-ecological regions of Senegal by the analysis of MODIS images on one year (23 dates).Cet article présente une méthode de segmentation de séries temporelles d'images satellite (SITS) en zones cohérentes, c'est-à-dire en des régions géographiques ayant des com-portements temporels homogènes. L'objectif de cette méthode est, d'un...
Can satellite imagery in conjunction with a meta population model provide further relevant parameter...
International audienceThe use of SITS improves the accuracy of the mapping of landcover. Nonetheless...
Satellite image time series (SITS), such as those by Sentinel-2 (S2) satellites, provides a large am...
International audienceThis paper presents a segmentation method of satellite images time series (SIT...
International audienceSatellite images allow the acquisition of large-scale ground vegetation. Image...
With the amount of multitemporal and multiresolution images growing exponentially, the number of ima...
Les Séries Temporelles d'Images Satellitaires (STIS), visant la même scène en évolution, sont très i...
The use of satellite image time series analysis and machine learning methods brings new opportunitie...
International audienceEnhancing the frequency of satellite acquisitions represents a key issue for E...
Since 2000, MODIS has been providing daily imagery with a fine spatial res- olution (250 m) for retr...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOSInternational audienceLa...
The thesis provides new insight into the segmentation processing of freely available satellite time-...
Cette thèse s’intéresse à l’analyse de séries temporelles d’images satellites à moyenne résolution s...
This PhD dissertation is concerned with time series analysis for medium spatial resolution (MSR) rem...
Cette thèse présente un ensemble d'algorithmes non-supervisés pour l'analyse générique de séries tem...
Can satellite imagery in conjunction with a meta population model provide further relevant parameter...
International audienceThe use of SITS improves the accuracy of the mapping of landcover. Nonetheless...
Satellite image time series (SITS), such as those by Sentinel-2 (S2) satellites, provides a large am...
International audienceThis paper presents a segmentation method of satellite images time series (SIT...
International audienceSatellite images allow the acquisition of large-scale ground vegetation. Image...
With the amount of multitemporal and multiresolution images growing exponentially, the number of ima...
Les Séries Temporelles d'Images Satellitaires (STIS), visant la même scène en évolution, sont très i...
The use of satellite image time series analysis and machine learning methods brings new opportunitie...
International audienceEnhancing the frequency of satellite acquisitions represents a key issue for E...
Since 2000, MODIS has been providing daily imagery with a fine spatial res- olution (250 m) for retr...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOSInternational audienceLa...
The thesis provides new insight into the segmentation processing of freely available satellite time-...
Cette thèse s’intéresse à l’analyse de séries temporelles d’images satellites à moyenne résolution s...
This PhD dissertation is concerned with time series analysis for medium spatial resolution (MSR) rem...
Cette thèse présente un ensemble d'algorithmes non-supervisés pour l'analyse générique de séries tem...
Can satellite imagery in conjunction with a meta population model provide further relevant parameter...
International audienceThe use of SITS improves the accuracy of the mapping of landcover. Nonetheless...
Satellite image time series (SITS), such as those by Sentinel-2 (S2) satellites, provides a large am...