Hyperspectral Anomaly Detection based on Empirical Mode Decomposition and Local Weighted Contrast
Existing hyperspectral anomaly detection methods leverage the spectral and spatial
information in the hyperspectral image (HSI) to detect the anomalies. However, the …
information in the hyperspectral image (HSI) to detect the anomalies. However, the …
Hyperspectral anomaly detection based on local contrast estimation and sub-block background estimation
J Zhang, X Xu, W Yan, H Li, P Xiang, J Song… - Infrared Physics & …, 2023 - Elsevier
Traditional hyperspectral anomaly detectors used spatial and spectral information to extract
information about the anomalies. However, most methods ignored spatial structural …
information about the anomalies. However, most methods ignored spatial structural …
Visibility estimation via near-infrared bispectral real-time imaging in bad weather
This manuscript proposes a physical inversion based visibility estimation model. The
proposed approach uses a dual-spectral imaging system, which is composed of near …
proposed approach uses a dual-spectral imaging system, which is composed of near …
Dust Weather Image Clarity Algorithm Based on Color Adjustment and Dark Channel Dehazing
JY Jin, YN Cui, J Ren, YX Lv… - … Conference on Cyber …, 2024 - ieeexplore.ieee.org
To solve the problem of color deviation and low contrast in dust weather images, a image
clarity algorithm based on color adjustment and dark channel fogging is proposed from the …
clarity algorithm based on color adjustment and dark channel fogging is proposed from the …