The presence of haze significantly degrades the quality of remote sensing images, resulting
in issues such as color distortion, reduced contrast, loss of texture, and blurred image edges …

Low-light remote sensing image enhancement for unmanned aerial vehicles (UAVs) has
significant scientific and practical value because unfavorable lighting conditions make …

The degradation of visual quality in remote sensing images caused by haze presents
significant challenges in interpreting and extracting essential information. To effectively …

As an atmospheric phenomenon, haze significantly reduces the visibility of outdoor and
remote sensing images. As remote sensing and outdoor imaging have different …

The scattering of tiny particles in the atmosphere causes a haze effect on remote sensing
images captured by satellites and similar devices, significantly disrupting subsequent image …

Existing methods for remote-sensing image dehazing and thin cloud removal treat this
image restoration task as a clear pixel estimation problem, yielding a single prediction result …

Deep learning technologies have demonstrated their effectiveness in removing cloud cover
from optical remote-sensing images. Convolutional neural networks (CNNs) exert …

Remote sensing images (RSIs) are often exposed to various degradation factors such as
sensor noise and poor observation environments. These factors can result in the loss of …

Remote sensing image dehazing is crucial for both military and civil applications. However,
dehazed remote sensing images often suffer from pronounced artifacts and tend to …

Due to the rich details of residential areas and the characteristics of remote sensing image
sharpness vulnerable to haze, it will not only consume a lot of labor costs but also be very …