Salena Akter

3D Convolutional Autoencoder with Spectral–Spatial Attention (3DCAE-SSA) for Anomaly Detection in Hyperspectral Imagery

Hyperspectral anomaly detection (HAD) refers to the process of identifying pixels or regions that are significantly different from the surrounding background signature of a hyperspectral image (HSI). HAD is highly challenging due to high spectral dimensionality, complex spatial patterns, subtle nature of the real-world...