Update README.md

README.md

@@ -1171,6 +1171,7 @@ GANS are famously used for generating synthetic data, see the section [Synthetic
 Efforts to detect falsified images & deepfakes. Also checkout [Synthetic data](https://github.com/robmarkcole/satellite-image-deep-learning#synthetic-data)
 * [UAE-RS](https://github.com/YonghaoXu/UAE-RS) -> dataset that provides black-box adversarial samples in the remote sensing field
 * [PSGAN](https://github.com/xuxiangsun/PSGAN) -> code for paper: Perturbation Seeking Generative Adversarial Networks: A Defense Framework for Remote Sensing Image Scene Classification
+* [SACNet](https://github.com/YonghaoXu/SACNet) -> code for 2021 [paper](https://ieeexplore.ieee.org/document/9573256): Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification
 
 ## Autoencoders, dimensionality reduction, image embeddings & similarity search
 * [Autoencoders & their Application in Remote Sensing](https://towardsdatascience.com/autoencoders-their-application-in-remote-sensing-95f6e2bc88f) -> intro article and example use case applied to SAR data for land classification