Update README.md

README.md

@@ -1171,6 +1171,7 @@ GANS are famously used for generating synthetic data, see the section [Synthetic
 * [Remote-Sensing-Image-Generation](https://github.com/aashishrai3799/Remote-Sensing-Image-Generation) -> Generate RS Images using Generative Adversarial Networks (GAN)
 * [RoadDA](https://github.com/LANMNG/RoadDA) -> code for 2021 [paper](https://arxiv.org/abs/2108.12611): Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing Images
 * [PSGan-Family](https://github.com/zhysora/PSGan-Family) -> code for 2020 [paper](https://ieeexplore.ieee.org/document/9306912): PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening
+* [Satellite Image Augmetation with GANs](https://github.com/Oarowolo11/11785-Project) -> code for 2022 [paper](https://arxiv.org/abs/2207.14580): Image Augmentation for Satellite Images
 
 ## Adversarial ML
 Efforts to detect falsified images & deepfakes. Also checkout [Synthetic data](https://github.com/robmarkcole/satellite-image-deep-learning#synthetic-data)