Satellite images hold great promise for continuous environmental monitoring and earth
observation. Occlusions cast by clouds, however, can severely limit coverage, making …

Because of the presence of clouds, the available information in optical remote sensing
images is greatly reduced. These temporal‐based methods are widely used for cloud …

Cloud cover remains a significant limitation to a broad range of applications relying on
optical remote sensing imagery, including crop identification/yield prediction, climate …

Satellite data's reliability, uniformity, and global scanning capabilities have revolutionized
agricultural monitoring and crop management. However, the presence of clouds in satellite …

In this work, tropical cyclone intensity estimation is approached as a continuous image
classification problem, with gradual changes in the intensity values. The key objective of …

Cloud cover remains a significant limitation to a broad range of applications relying on
optical remote sensing imagery, including crop identification/yield prediction, climate …

The atmospheric condition of the presence of clouds is one of the biggest problems in most
aerial imaging systems. It degrades the visual quality of images leading to the loss of …

Interstellar, satellite and microscopic imaging methods produce high-resolution images
which carry vital information even at a pixel level. Translucent hindrance from reflection …

Résumé Grâce aux récents progres des dispositifs de capture d'images, les images haute
résolution (HR) se sont répandues dans plusieurs domaines. En outre, la télédétection (RS) …