Update README.md

README.md

@@ -23,7 +23,7 @@ For each patch, it constains approximately 70 observations of Sentinel-1 in asce
 We extend PASTIS with aligned very high resolution satellite images from SPOT 6-7 constellation for all 2433 patches in addition to the Sentinel-1 and 2 time series. 
 The image are resampled to a 1m resolution and converted to 8 bits. 
 This enhancement significantly improves the dataset's spatial content, providing more granular information for agricultural parcel segmentation.
-PASTIS-HD can be used to evaluate multi-modal fusion methods (with optical time series, radar time series and VHR images) for parcel-based classification, semantic segmentation, and panoptic segmentation.  
+**PASTIS-HD** can be used to evaluate multi-modal fusion methods (with optical time series, radar time series and VHR images) for parcel-based classification, semantic segmentation, and panoptic segmentation.  
 
 ## Dataset in numbers
 
@@ -73,7 +73,7 @@ For the PASTIS-R optical-radar fusion dataset, please also cite [this paper](htt
 }
 ```
 
-For the PASTIS-HD with the 3 modality optical-radar time series plus VHR images dataset, please also cite this paper:
+For the PASTIS-HD with the 3 modality optical-radar time series plus VHR images dataset, please also cite [this paper](https://arxiv.org/abs/2404.08351):
 ```
 @article{astruc2024omnisat,
   title={Omni{S}at: {S}elf-Supervised Modality Fusion for {E}arth Observation},