Reliable detection of clouds is a critical pre-processing step in optical satellite based remote
sensing. Currently, most methods are based on classifying invidual pixels from their spectral …

Cloud detection in remote sensing images is a challenging but significant task. Due to the
variety and complexity of underlying surfaces, most of the current cloud detection methods …

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 step in the optical satellite image processing pipeline for Earth
observation. Clouds in optical remote sensing images seriously affect the visibility of the …

Deep Learning (DL) is an effective technique for dealing with complex systems. This study
proposes a hybrid DL approach, a combination of one-dimensional Convolutional Neural …

Cloud Masking is one of the most essential products for satellite remote sensing and
downstream applications. This study develops machine learning-based (ML-based) cloud …

Information about clouds is important for observing and predicting weather and climate as
well as for generating and distributing solar power. Most existing approaches extract cloud …

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 a prerequisite in many remote sensing applications, and it has been
tackled through different approaches from simple thresholding to complicated deep network …

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 …