In the imaging process of optical remote sensing platforms, clouds are an inevitable barrier
to the effective observation of sensors. To recover the original information covered by the …

Remote sensing images are very vulnerable to cloud interference during the imaging
process. Cloud occlusion, especially thick cloud occlusion, significantly reduces the imaging …

Removal of cloud cover from remote sensing satellite images is crucial to many optical
remote sensing image data users because cloud cover can conceal important spatial …

Clouds and shadows often contaminate optical remote sensing images, resulting in missing
information. Consequently, continuous spatiotemporal monitoring of the Earth's surface …

摘要针对航拍图像中存在的厚云遮挡问题, 提出了一种基于改进Criminisi
算法的图像修复去厚云算法. 通过改进优先权函数确定了最优待修补块, 完善了最优匹配块搜索 …

The uncontrollable weather conditions can cause a serious problem to remote sensing
imaginary. One of the weather conditions is a resulting from cloud contamination. As a result …

This paper proposed a new land cover mapping algorithm for remote sensing images under
the presence of clouds. Here, we modelled the observed image as the weighted sum …

Currently, with the rapid development of remote sensing, the timely and accurate estimation
of crop yield based on remote sensing is of great significance for scientific and practical …

The main focus of the dissertation is Land Use/Land Cover Classification, implemented in
FPGA, taking advantage of its parallelism, improving time between mathematical operations …

The uncontrollable weather conditions can cause a serious problem to remote sensing
imaginary. One of the weather conditions is a resulting from cloud contamination. As a result …