EDiffSR: An efficient diffusion probabilistic model for remote sensing image super-resolution
Recently, convolutional networks have achieved remarkable development in remote
sensing image (RSI) super-resolution (SR) by minimizing the regression objectives, eg, MSE …
sensing image (RSI) super-resolution (SR) by minimizing the regression objectives, eg, MSE …
Deep blind super-resolution for satellite video
Recent efforts have witnessed remarkable progress in satellite video super-resolution
(SVSR). However, most SVSR methods usually assume the degradation is fixed and known …
(SVSR). However, most SVSR methods usually assume the degradation is fixed and known …
Hyperspectral and panchromatic images fusion based on the dual conditional diffusion models
The fusion between the low-resolution hyperspectral image (LRHSI) and the panchromatic
(PAN) image could obtain the high-resolution hyperspectral image (HRHSI). Recently, deep …
(PAN) image could obtain the high-resolution hyperspectral image (HRHSI). Recently, deep …
Hyperspectral denoising via global variation and local structure low-rank model
L Li, M Song, Q Zhang, Y Dong - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Hyperspectral images (HSIs) are often disturbed by various kinds of noises. This article
proposes a global variation and local structure low-rank model (GLLR) for HSI denoising by …
proposes a global variation and local structure low-rank model (GLLR) for HSI denoising by …
IBCO-Net: Integrity-Boundary-Corner Optimization in a General Multi-Stage Network for Building Fine Segmentation from Remote Sensing Images
Building extraction is a significant topic in high-resolution remote sensing. Insufficient
integrity, irregular boundaries, and inaccurate corners remain a problem for existing …
integrity, irregular boundaries, and inaccurate corners remain a problem for existing …
Scattering features spatial-structural association network for aircraft recognition in SAR images
C Zhao, S Zhang, R Luo, S Feng… - IEEE Geoscience and …, 2023 - ieeexplore.ieee.org
Due to the all-day, all-weather imaging characteristics of synthetic aperture radar (SAR),
aircraft recognition in SAR images is emerging as a vital issue. Electromagnetic scattering …
aircraft recognition in SAR images is emerging as a vital issue. Electromagnetic scattering …
Spectral correlation-based fusion network for hyperspectral image super-resolution
Q Zhu, M Zhang, Y Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
To address the limitations of hyperspectral imaging systems, super-resolution techniques
that fuse low-resolution hyperspectral image (HSI) with high-resolution multispectral image …
that fuse low-resolution hyperspectral image (HSI) with high-resolution multispectral image …
Hyper-Laplacian Prior for Remote Sensing Image Super-Resolution
K Zhao, T Lu, J Wang, Y Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Image explicit prior has made breakthrough progress in the super-resolution (SR) due to the
additional supervisory information provided. However, existing explicit prior-guided SR …
additional supervisory information provided. However, existing explicit prior-guided SR …
Physics-Guided Optical Simulation and PSF Analysis for Remote Sensing Images Deblurring
F Ji, J Wang, S Cui, J Li, X Tang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The presence of blur is prevalent in satellite remote sensing images (RSIs), and its
detrimental impact on downstream applications cannot be overlooked. Current deep …
detrimental impact on downstream applications cannot be overlooked. Current deep …
Cross-spatial pixel integration and cross-stage feature fusion-based transformer network for remote sensing image super-resolution
Y Lu, L Min, B Wang, L Zheng, X Wang… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Remote sensing image super-resolution (RSISR) plays a vital role in enhancing spatial
details and improving the quality of satellite imagery. Recently, Transformer-based models …
details and improving the quality of satellite imagery. Recently, Transformer-based models …