Exploring inference of a land use and land cover model trained on MultiSenGE dataset
Author:
Affiliation:
1. University of Strasbourg,LIVE UMR 7362 CNRS,Strasbourg,France,F-67000
2. University of Haute-Alsace,IRIMAS UR 7499,Mulhouse,France,F-68100
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10144111/10144082/10144156.pdf?arnumber=10144156
Reference16 articles.
1. Jointly Exploiting Sentinel-1 and Sentinel-2 for Urban Mapping
2. Multitemporal optical and radar data fusion for crop monitoring: application to an intensive agricultural area in brittany (France);betbeder;2014 IEEE Geoscience and Remote Sensing Symposium IGARSS 2014 Quebec City QC Canada July 13–18 2014 2014,2014
3. A new remote sensing benchmark dataset for machine learning applications : MultiSenGE (1.0) [Data set];wenger;Zenodo,2022
4. Multimodal and Multitemporal Land Use/Land Cover Semantic Segmentation on Sentinel-1 and Sentinel-2 Imagery: An Application on a MultiSenGE Dataset
5. Fusion of Sentinel-1A and Sentinel-2A data for land cover mapping: a case study in the lower Magdalena region, Colombia
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