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 is one of the critical tasks in remote sensing image pre-processing and it
has attracted extensive research interest. In recent years, deep neural networks based cloud …

Cloud detection is the task of detecting cloud areas in remote sensing images (RSIs), and it
has attracted extensive research interest. Recently, deep learning (DL)-based methods have …

Cloud detection is critical in remote sensing image processing, and convolutional neural
networks (CNNs) have significantly advanced this field. However, traditional CNNs primarily …

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

Cloud detection is one of the essential procedures in optical remote sensing image
processing because clouds are widely distributed in remote sensing images and cause a lot …

Cloud detection is one of the key technologies in the field of remote sensing. Although
extensive deep learning-based cloud detection methods achieve good performance, their …

Cloud detection is a key step in optical remote sensing image processing, and the cloud-free
image is of great significance for land use classification, change detection, and long time …

Thin clouds detection and the difficulty in distinguishing between clouds and bright surface
features have consistently presented challenges in optical remote sensing cloud detection …

Cloud detection in remote sensing images is a challenging task that plays a crucial role in
various applications. A novel residual dual U-shape network (RD-UNet) is proposed for …