Trinity-Net: Gradient-guided Swin transformer-based remote sensing image dehazing and beyond
Haze superimposes a veil over remote sensing images, which severely limits the extraction
of valuable military information. To this end, we present a novel trinity model to restore …
of valuable military information. To this end, we present a novel trinity model to restore …
Coupling model-and data-driven methods for remote sensing image restoration and fusion: Improving physical interpretability
In the fields of image restoration and image fusion, model-and data-driven methods are the
two representative frameworks. However, both approaches have their respective …
two representative frameworks. However, both approaches have their respective …
Domain-aware unsupervised hyperspectral reconstruction for aerial image dehazing
Haze removal in aerial images is a challenging problem due to considerable variation in
spatial details and varying contrast. Changes in particulate matter density often lead to …
spatial details and varying contrast. Changes in particulate matter density often lead to …
Dense haze removal based on dynamic collaborative inference learning for remote sensing images
L Zhang, S Wang - IEEE Transactions on Geoscience and …, 2022 - ieeexplore.ieee.org
Haze in remote sensing images (RSIs) usually causes serious radiance distortion and
image quality degeneration, resulting in difficult remote sensing inversion and interpretation …
image quality degeneration, resulting in difficult remote sensing inversion and interpretation …
PhDnet: A novel physic-aware dehazing network for remote sensing images
Remote sensing haze removal is a popular computational imaging technique that directly
obtains clear remote sensing data from hazy remote sensing images. Apart from prior-based …
obtains clear remote sensing data from hazy remote sensing images. Apart from prior-based …
A new fast and efficient dehazing and defogging algorithm for single remote sensing images
A Kumari, SK Sahoo - Signal Processing, 2024 - Elsevier
Abstract Information about the earth's surface is difficult to capture in remote sensing images
because bad weather greatly curtails visibility and diminishes visual contrast in the images …
because bad weather greatly curtails visibility and diminishes visual contrast in the images …
Local patchwise minimal and maximal values prior for single optical remote sensing image dehazing
J Han, S Zhang, N Fan, Z Ye - Information Sciences, 2022 - Elsevier
Poor observation conditions, such as haze, fog, offgas, and dust, which result in contrast
degradation and colour distortion issues, negatively affect remote sensing images (RSIs). In …
degradation and colour distortion issues, negatively affect remote sensing images (RSIs). In …
Remote sensing image dehazing using heterogeneous atmospheric light prior
Y He, C Li, X Li - IEEE Access, 2023 - ieeexplore.ieee.org
Remote sensing images (RSIs) captured in haze weather will suffer from serious quality
degradation with color distortion and contrast reduction, which creates numerous challenges …
degradation with color distortion and contrast reduction, which creates numerous challenges …
An Unsupervised Dehazing Network with Hybrid Prior Constraints for Hyperspectral Image
Haze pollution in hyperspectral images (HSIs) leads to surface information lack and image
clarity degradation, which seriously affects the performance of subsequent image …
clarity degradation, which seriously affects the performance of subsequent image …
Classification of alpine grasslands in cold and high altitudes based on multispectral Landsat-8 images: A case study in Sanjiangyuan National Park, China
Land-use–cover change (LUCC)/vegetation cover plays a critical role in Earth system
science and is a reflection of human activities and environmental changes. LUCC will affect …
science and is a reflection of human activities and environmental changes. LUCC will affect …