Yuyun Lian

Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection

Hyperspectral anomaly detection (HAD) aims to discern the objects deviated dramatically from their surrounding pixels. Some deep learning-based models integrating with the low-rank representation (LRR) have been proposed recently. The process of constructing dictionary in these methods is complex an…