Results 1 to 10 of about 514,405 (142)
Cloud Detection Method Based on All-Sky Polarization Imaging [PDF]
Sensors, 2022 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
CDUNet: Cloud Detection UNet for Remote Sensing Imagery
Remote Sensing, 2021 Cloud detection is a key step in the preprocessing of optical satellite remote sensing images. In the existing literature, cloud detection methods are roughly divided into threshold methods and deep-learning methods.
Kai Hu, Dongsheng Zhang, Min Xia
doaj +3 more sources
Novel Machine Learning Approach for DDoS Cloud Detection: Bayesian-Based CNN and Data Fusion Enhancements [PDF]
SensorsCloud computing has revolutionized the information technology landscape, offering businesses the flexibility to adapt to diverse business models without the need for costly on-site servers and network infrastructure.
Ibtihal AlSaleh +2 more
doaj +2 more sources
IEEE Access, 2020 This paper reviews the background and related studies in the areas of cloud systems, intrusion detection and blockchain applications against cyber attacks.
Osama Alkadi +2 more
doaj +3 more sources
SPEC airborne cloud detection system and its cloud physics research progress
暴雨灾害, 2021 Based on a comprehensive introduction of the development history, application situation, advantages and disadvantages of China's airborne cloud detection systems, this paper gives a detailed description of the system composition, detection principle ...
Siyao LIU, Chuanfeng ZHAO, Yuquan ZHOU
doaj +1 more source
FY-4A/AGRI Cloud Detection Method Based on Naive Bayesian Algorithm
应用气象学报, 2023 Optical remote sensing cloud detection is the foundation for subsequent quantitative remote sensing and applications. A cloud detection method based on naive Bayesian algorithm is studied and applied to the advanced geostationary orbital radioimager ...
Guo Xuexing +4 more
doaj +1 more source
Cloud and Cloud Shadow Detection of GF-1 Images Based on the Swin-UNet Method
Atmosphere, 2023 Cloud and cloud shadow detection in remote sensing images is an important preprocessing technique for quantitative analysis and large-scale mapping. To solve the problems of cloud and cloud shadow detection based on Convolutional Neural Network models ...
Yuhao Tan +7 more
doaj +1 more source
Digital Communications and Networks, 2023 With the rapid development of the Internet of Things (IoT), there are several challenges pertaining to security in IoT applications. Compared with the characteristics of the traditional Internet, the IoT has many problems, such as large assets, complex ...
Haifeng Lin +3 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Cloud detection is a fundamental step for optical satellite image applications. Existing deep learning methods can provide more accurate cloud detection results.
Yang Chen +4 more
doaj +1 more source
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