Change representation and extraction in stripes: Rethinking unsupervised hyperspectral image change detection with an untrained network
Deep learning-based hyperspectral image (HSI) change detection (CD) approaches have a
strong ability to leverage spectral-spatial-temporal information through automatic feature …
strong ability to leverage spectral-spatial-temporal information through automatic feature …
Exploiting Generative Diffusion Prior with Latent Low-rank Regularization for Image Inpainting
Generative diffusion models have recently shown impressive results in image restoration.
However, the predicted noise from existing diffusion-based methods may be inaccurate …
However, the predicted noise from existing diffusion-based methods may be inaccurate …
Breaking through clouds: A hierarchical fusion network empowered by dual-domain cross-modality interactive attention for cloud-free image reconstruction
C Li, S Li, X Liu - Information Fusion, 2025 - Elsevier
Cloud obscuration undermines the availability of optical images for continuous monitoring in
earth observation. Fusing features from synthetic aperture radar (SAR) has been recognized …
earth observation. Fusing features from synthetic aperture radar (SAR) has been recognized …