A 1.2 million-parcel dataset combining EnMAP hyperspectral imagery with Sentinel-2 time series enables finer crop classification, with the hyperspectral channel adding 4.2% average F1.
title Pretrain a remote sensing foundation model by promoting intra-instance similarity
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Fine-grained Hierarchical Crop Type Classification from Integrated Hyperspectral EnMAP Data and Multispectral Sentinel-2 Time Series: A Large-scale Dataset and Dual-stream Transformer Method
A 1.2 million-parcel dataset combining EnMAP hyperspectral imagery with Sentinel-2 time series enables finer crop classification, with the hyperspectral channel adding 4.2% average F1.