2 papers
cs.CV2026
Utilizing the Score of Data Distribution for Hyperspectral Anomaly Detection
Jiahui Sheng, Yidan Shi, Shu Xiang +2
Hyperspectral images (HSIs) are a type of image that contains abundant spectral information. As a type of real-world data, the high-dimensional spectra in hyperspectral images are…
cs.CV2026
Turbo-GoDec: Exploiting the Cluster Sparsity Prior for Hyperspectral Anomaly Detection
Jiahui Sheng, Xiaorun Li, Shuhan Chen
As a key task in hyperspectral image processing, hyperspectral anomaly detection has garnered significant attention and undergone extensive research. Existing methods primarily rel…