Abstract: To address imbalanced data challenges in intrusion detection, we propose SA-LCA, integrating an improved stacked autoencoder with LSTM-CNN-Attention. Preprocessing uses one-hot encoding and ...

Abstract: Hyperspectral anomaly detection (HAD) aims to identify and locate anomalous targets in hyperspectral image (HSI) data that are significantly different from the surrounding background or ...