Cloud detection is an essential and important process in satellite remote sensing.
Researchers proposed various methods for cloud detection. This paper reviews recent …

In recent years, deep convolutional neural networks (DCNNs) have made significant
progress in cloud detection tasks, and the detection accuracy has been greatly improved …

This article introduces a review on implementations of various methods to perform cloud
detection and its related applications such as detection of cloud shadow, types of cloud and …

The increasing demand for high-resolution hyperspectral images from nano and
microsatellites conflicts with the strict bandwidth constraints for downlink transmission. A …

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 …

Geographic information such as the altitude, latitude, and longitude are common but
fundamental meta-records in remote sensing image products. In this paper, it is shown that …

Cloud detection is of great significance for the subsequent analysis and application of
remote-sensing images, and it is a critical part of remote-sensing image preprocessing. In …

To improve remote sensing image transmission efficiency, we propose a cloud detection
method using a multi-feature embedded learning support vector machine (SVM) to address …

Analysis Ready Data (ARD) has been greatly recommended by the Committee on Earth
Observation Satellites (CEOS) for simplifying and fostering long time series analysis at large …

In recent years, convolutional neural networks (CNNs) have achieved competitive
performance in the field of ground-based cloud image (GCI) classification. Proposed CNN …