Results 21 to 30 of about 514,554 (290)

Detecting Computer Worms in the Cloud [PDF]

open access: yes, 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

A robust ragged cloud detection algorithm for remote sensing image

open access: yesThe Journal of Engineering, 2019
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

Malware Detection in Cloud Computing Infrastructures [PDF]

open access: yesIEEE Transactions on Dependable and Secure Computing, 2016
Cloud services are prominent within the private, public and commercial domains. Many of these services are expected to be always on and have a critical nature; therefore, security and resilience are increasingly important aspects. In order to remain resilient, a cloud needs to possess the ability to react not only to known threats, but also to new ...
Michael R. Watson   +4 more
openaire   +2 more sources

Comparison of SAFNWC/MSG Satellite Cloud Type with Vaisala CL51 Ceilometer-Detected Cloud Base Layer Using the Sky Condition Algorithm and Vaisala BL-View Software

open access: yesAtmosphere, 2019
Ceilometer detection can be used to determine cloud type based on cloud layer height. Satellite observations provide images of clouds’ physical properties.
Milan Šálek, Beáta Szabó-Takács
doaj   +1 more source

A CLOUD BOUNDARY DETECTION SCHEME COMBINED WITH ASLIC AND CNN USING ZY-3, GF-1/2 SATELLITE IMAGERY [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Remote sensing optical image cloud detection is one of the most important problems in remote sensing data processing. Aiming at the information loss caused by cloud cover, a cloud detection method based on convolution neural network (CNN) is presented in
Z. Guo   +5 more
doaj   +1 more source

Optical Remote Sensing Image Cloud Detection with Self-Attention and Spatial Pyramid Pooling Fusion

open access: yesRemote Sensing, 2022
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

A Priori Land Surface Reflectance Synergized With Multiscale Features Convolution Neural Network for MODIS Imagery Cloud Detection

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Moderate resolution imaging spectrometer (MODIS) images are widely used in land, ocean, and atmospheric monitoring, due to their wide spectral coverage, high temporal resolution, and convenient data acquisition.
Nan Ma   +6 more
doaj   +1 more source

Polar Cloud Detection of FengYun-3D Medium Resolution Spectral Imager II Imagery Based on the Radiative Transfer Model

open access: yesRemote Sensing, 2023
The extensive existence of high-brightness ice and snow underlying surfaces in polar regions presents notable complexities for cloud detection in remote sensing imagery.
Shaojin Dong   +4 more
doaj   +1 more source

Salient Object Detection for Point Clouds

open access: yes, 2022
Accepted to ECCV 2022.
Songlin Fan, Wei Gao 0003, Ge Li 0002
openaire   +2 more sources

SWAS and Arecibo observations of H2O and OH in a diffuse cloud along the line-of-sight to W51 [PDF]

open access: yes, 2002
Observations of W51 with the Submillimeter Wave Astronomy Satellite (SWAS) have yielded the first detection of water vapor in a diffuse molecular cloud.
David A. Neufeld   +7 more
core   +4 more sources

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