Cloud and cloud shadow segmentation is a crucial pre-processing step for any application
that uses multi-spectral satellite images. In particular, disaster related applications (eg, flood …

Cloud detection is one of the important tasks for remote sensing image (RSI) preprocessing.
In this paper, we utilize the thumbnail (ie, preview image) of RSI, which contains the …

Cloud detection is a crucial preprocessing step for optical satellite remote sensing (RS)
images. This article focuses on the cloud detection for RS imagery with cloud-snow …

Cloud detection is an important and difficult task in the pre-processing of satellite remote
sensing data. The results of traditional cloud detection methods are often unsatisfactory in …

In the application of remote sensing, cloud blocking brings trouble to the analysis of surface
parameters and atmospheric parameters. Due to the complexity of the background, the …

A stable and reliable cloud detection algorithm is an important step of optical satellite data
preprocessing. Existing threshold methods are mostly based on classifying spectral features …

Cloud detection for remote sensing images is often a necessary process, because cloud is
widespread in optical remote sensing images and causes a lot of difficulty to many remote …

The existence of clouds in high-resolution remote sensing images influences target
recognition and feature classification. Therefore, finding areas covered with clouds is an …

There are a couple of reasons to stimulate a discussion about the definition of clouds. One
reason is that the American Meteorological Society (AMS) and the World Meteorological …

Cloud Detection is an important pre-processing step for any application involving remote
sensing data. This paper presents a deep learning based CloudX-Net architecture, that can …