Land-cover map production using remote-sensing imagery is governed by data availability. In our case, data sources are two-fold: on one hand, optical data provided regularly by satellites such as Sentinel-2, and on the other hand, reference data which allow calibrating mapping methods or validating the results. The lengthy delays due to reference data collection and cleansing are one of the main issues for applications. In this work, the use of Optimal Transport (OT) is proposed. OT is a Domain Adaptation method that uses past data, both images and reference data, to produce the land-cover map of the current period without updated reference data. Seven years of Formosat-2 image time series and the corresponding reference data are used to ev...
In order to achieve wider acceptance among users of thematic maps derived from remote sensing data, ...
International audience—Re-using models trained on a specific image acquisition to classify landcover...
International audienceThe recent availability of high spatial and temporal resolution optical and ra...
Land-cover map production using remote-sensing imagery is governed by data availability. In our case...
Optical sensor time series images allow one to produce land cover maps at a large scale. The supervi...
A detailed and accurate knowledge of land cover is crucial for many scientific and operational appli...
This chapter revises the recent advances in the automatic classification of remote sensing (RS) imag...
International audienceNowadays, Satellite Image Time Series (SITS) are employed as input to derive l...
International audienceOne of the main objective of data fusion is the integration of several acquisi...
International audienceLand cover maps are a vital input variable in all types of environmental resea...
International audienceAccurate estimates of poplar plantations area and their distribution are not a...
Land cover mapping for large regions often employs satellite images of medium to coarse spatial reso...
L'étude des surfaces continentales constitue un enjeu majeur à l'échelle mondiale pour le suivi et l...
With the development of remote sensing algorithms and increased access to satellite data, generating...
The study of continental surfaces is a major global challenge for the monitoring and management of t...
In order to achieve wider acceptance among users of thematic maps derived from remote sensing data, ...
International audience—Re-using models trained on a specific image acquisition to classify landcover...
International audienceThe recent availability of high spatial and temporal resolution optical and ra...
Land-cover map production using remote-sensing imagery is governed by data availability. In our case...
Optical sensor time series images allow one to produce land cover maps at a large scale. The supervi...
A detailed and accurate knowledge of land cover is crucial for many scientific and operational appli...
This chapter revises the recent advances in the automatic classification of remote sensing (RS) imag...
International audienceNowadays, Satellite Image Time Series (SITS) are employed as input to derive l...
International audienceOne of the main objective of data fusion is the integration of several acquisi...
International audienceLand cover maps are a vital input variable in all types of environmental resea...
International audienceAccurate estimates of poplar plantations area and their distribution are not a...
Land cover mapping for large regions often employs satellite images of medium to coarse spatial reso...
L'étude des surfaces continentales constitue un enjeu majeur à l'échelle mondiale pour le suivi et l...
With the development of remote sensing algorithms and increased access to satellite data, generating...
The study of continental surfaces is a major global challenge for the monitoring and management of t...
In order to achieve wider acceptance among users of thematic maps derived from remote sensing data, ...
International audience—Re-using models trained on a specific image acquisition to classify landcover...
International audienceThe recent availability of high spatial and temporal resolution optical and ra...