scholarly journals Fusion Approaches for Land Cover Map Production Using High Resolution Image Time Series without Reference Data of the Corresponding Period

2017 ◽  
Vol 9 (11) ◽  
pp. 1151 ◽  
Author(s):  
Benjamin Tardy ◽  
Jordi Inglada ◽  
Julien Michel
Keyword(s):  
Time Series ◽  
High Resolution ◽  
Land Cover ◽  
Reference Data ◽  
Resolution Image ◽  
High Resolution Image ◽  
Land Cover Map

scholarly journals Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series

2017 ◽  
Vol 9 (1) ◽  
pp. 95 ◽  
Author(s):  
Jordi Inglada ◽  
Arthur Vincent ◽  
Marcela Arias ◽  
Benjamin Tardy ◽  
David Morin ◽  
...  
Keyword(s):  
Time Series ◽  
High Resolution ◽  
Land Cover ◽  
Satellite Image ◽  
Land Cover Map

scholarly journals Assessment of Optimal Transport for Operational Land-Cover Mapping Using High-Resolution Satellite Images Time Series without Reference Data of the Mapping Period

2019 ◽  
Vol 11 (9) ◽  
pp. 1047 ◽  
Author(s):  
Benjamin Tardy ◽  
Jordi Inglada ◽  
Julien Michel
Keyword(s):  
Time Series ◽  
Land Cover ◽  
Reference Data ◽  
Optimal Transport ◽  
Majority Voting ◽  
Data Availability ◽  
Optical Data ◽  
High Resolution Satellite Images ◽  
Land Cover Map ◽  
Number Of Classes

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 evaluate two OT algorithms: conventional EMD transport and regularized transport based on the Sinkhorn distance. The contribution of OT to a classification fusion strategy is also evaluated. The results show that with a 17-class nomenclature the problem is too complex for the Sinkhorn algorithm, which provides maps with an Overall Accuracy (OA) of 30%. In contrast, with the EMD algorithm, an OA close to 70% is obtained. One limitation of OT is the number of classes that can be considered at the same time. Simplification schemes are proposed to reduce the number of classes to be transported. Cases of improvement are shown when the problem is simplified, with an improvement in OA varying from 5% and 20%, producing maps with an OA near 79%. As several years are available, the OT approaches are compared to standard fusion schemes, like majority voting. The gain in voting strategies with OT use is lower than the gain obtained with standard majority voting (around 5%).

Spatially detailed retrievals of spring phenology from single-season high-resolution image time series

2017 ◽  
Vol 59 ◽  
pp. 19-30 ◽  
Author(s):  
Anton Vrieling ◽  
Andrew K. Skidmore ◽  
Tiejun Wang ◽  
Michele Meroni ◽  
Bruno J. Ens ◽  
...  
Keyword(s):  
Time Series ◽  
High Resolution ◽  
Spring Phenology ◽  
Resolution Image ◽  
High Resolution Image
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