Search Results for author:
Found 3 papers, 1 papers with code
Exploring Hyperspectral Anomaly Detection with Human Vision: A Small Target Aware Detector
Our method provides a new solution space for HAD that is closer to human visual perception with high confidence.
RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient Compression on Remote Sensing Image Interpretation
The key component of RS-DGC is a Neighborhood Statistical Indicator (NSI), which can quantify the importance of gradients within a specified neighborhood on each node to sparsify the local gradients before gradient transmission in each iteration.
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly Detection
We present a novel solution BSDM (background suppression diffusion model) for HAD, which can simultaneously learn latent background distributions and generalize to different datasets for suppressing complex background.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
