Results 11 to 20 of about 93,663 (165)
Cloud Detection Method Based on All-Sky Polarization Imaging [PDF]
Sky cloud detection has a significant application value in the meteorological field. The existing cloud detection methods mainly rely on the color difference between the sky background and the cloud layer in the sky image and are not reliable due to the ...
Wunan Li +4 more
doaj +2 more sources
Cloud Detection in Remote Sensing Images Based on a Novel Adaptive Feature Aggregation Method [PDF]
Cloud detection constitutes a pivotal task in remote sensing preprocessing, yet detecting cloud boundaries and identifying thin clouds under complex scenarios remain formidable challenges. In response to this challenge, we designed a network model, named
Wanting Zhou +3 more
doaj +2 more sources
Distributed boosting for cloud detection [PDF]
The SPOT 6–7 satellite ground segment includes a systematic and automatic cloud detection step in order to feed a catalogue with a binary cloud mask and an appropriate confidence measure. In order to significantly improve the SPOT cloud detection and get rid of frequent manual re-labelings, we study a new automatic cloud detection technique that is ...
Matthieu Le Goff +4 more
openaire +2 more sources
Anomaly Detection in Cloud Components [PDF]
Cloud platforms, under the hood, consist of a complex inter-connected stack of hardware and software components. Each of these components can fail which may lead to an outage. Our goal is to improve the quality of Cloud services through early detection of such failures by analyzing resource utilization metrics.
Mohammad Saiful Islam +1 more
openaire +2 more sources
Deep Learning for Cloud Detection [PDF]
The SPOT 6-7 satellite ground segment includes a systematic and automatic cloud detection step in order to feed a catalogue with a binary cloud mask and an appropriate confidence measure. However, current approaches for cloud detection, that are mostly based on machine learning and hand crafted features, have shown lack of robustness.
Le Goff, Matthieu +4 more
openaire +2 more sources
CLOUD DETECTION BY FUSING MULTI-SCALE CONVOLUTIONAL FEATURES [PDF]
Clouds detection is an important pre-processing step for accurate application of optical satellite imagery. Recent studies indicate that deep learning achieves best performance in image segmentation tasks.
Z. Li +6 more
doaj +1 more source
Anomaly Detection in Cloud-Native Systems
Abstract Companies develop cloud-native systems deployed on public and private clouds. Since private clouds have limited resources, the systems should run efficiently by keeping performance related anomalies under control. The goal of this work is to understand whether a set of five performance-related KPIs depends on the metrics collected at runtime ...
Francesco Lomio +3 more
openaire +3 more sources
Optical Remote Sensing Image Cloud Detection with Self-Attention and Spatial Pyramid Pooling Fusion
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-series landcover monitoring.
Weihua Pu +3 more
doaj +1 more source
Detecting Computer Worms in the Cloud [PDF]
Computer worms are very active and new sophisticated versions continuously appear. Signature-based detection methods work with a low false-positive rate, but previously knowledge about the threat is needed. Anomaly-based intrusion detection methods are able to detect new and unknown threats, but meaningful information for correct results is necessary ...
Sebastian Biedermann +1 more
openaire +1 more source
A robust ragged cloud detection algorithm for remote sensing image
Cloud detection plays a significant role in remote sensing (RS) image processing. Numbers of cloud detection algorithms have been developed in the literature.
Li Zhen +4 more
doaj +1 more source

