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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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