Results 21 to 30 of about 121,150 (313)
Evaluation of the MODIS Collection 6 multilayer cloud detection algorithm through comparisons with CloudSat Cloud Profiling Radar and CALIPSO CALIOP products [PDF]
Atmospheric Measurement Techniques, 2020 Since multilayer cloud scenes are common in the atmosphere and can be an important source of uncertainty in passive satellite sensor cloud retrievals, the MODIS MOD06 and MYD06 standard cloud optical property products include a multilayer cloud detection
B. Marchant +5 more
doaj +1 more source
Anomaly Detection in Cloud Components [PDF]
2020 IEEE 13th International Conference on Cloud Computing (CLOUD), 2020 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
THIN CLOUD DETECTION METHOD BY LINEAR COMBINATION MODEL OF CLOUD IMAGE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The existing cloud detection methods in photogrammetry often extract the image features from remote sensing images directly, and then use them to classify images into cloud or other things.
L. Liu +5 more
doaj +1 more source
DECISION TREE CLOUD DETECTION ALGORITHM BASED ON FY-4A SATELLITE DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 In order to study the on-board processing technology of meteorological satellites, a decision tree cloud detection algorithm is proposed by taking FY-4A satellite data as an example.
Z. F. Yu, W. H. Ai, Z. H. Tan, W. Yan
doaj +1 more source
Deep Learning for Cloud Detection [PDF]
8th International Conference of Pattern Recognition Systems (ICPRS 2017), 2017 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]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 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
Remote Sensing, 2021 Clouds constitute a major obstacle to the application of optical remote-sensing images as they destroy the continuity of the ground information in the images and reduce their utilization rate.
Xiaolong Li +6 more
doaj +1 more source
Anomaly Detection in Cloud-Native Systems
2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2022 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
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Developing Secure Cloud Applications [PDF]
, 2013 Today the main limit to Cloud adoption is related to the perception of a security loss the users have. Indeed, the existing solutions to provide security are mainly focused on Cloud service provider prospective in order to securely integrate frameworks ...
Ficco, Massimo +9 more
core +1 more source
Detecting Computer Worms in the Cloud [PDF]
, 2012 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