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   Articles with "cloud detection" as a keyword



A microwave temperature sounder (MWTS)–microwave humidity sounder fusion cloud detection method for land data from the FengYun‐3D MWTS and its impact on error estimation

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recommendations! Published in 2024 at "Quarterly Journal of the Royal Meteorological Society"

DOI: 10.1002/qj.4878

Abstract: The presence of clouds greatly disrupting the estimation of observation errors in satellite data. Therefore, cloud detection is a necessary step in satellite radiance data assimilation, not only to identify clear sky data and cloudy… read more here.

Keywords: detection; sounder; method; cloud detection ... See more keywords
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Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning

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recommendations! Published in 2020 at "Remote Sensing of Environment"

DOI: 10.1016/j.rse.2020.112045

Abstract: Abstract Cloud cover is a common and inevitable phenomenon that often hinders the usability of optical remote sensing (RS) image data and further interferes with continuous cartography based on RS image interpretation. In the literature,… read more here.

Keywords: remote sensing; image; cloud detection; deep networks ... See more keywords
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Automated Nighttime Cloud Detection Using Keograms When Aurora Is Present

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recommendations! Published in 2024 at "Earth and Space Science"

DOI: 10.1029/2022ea002808

Abstract: We present a binary hypothesis test for detecting clear sky in auroral all‐sky images based on single‐wavelength keograms. The coefficient of variation c, the ratio of the sample standard deviation to the mean over elevation… read more here.

Keywords: detection; detection using; using keograms; nighttime cloud ... See more keywords

Cloud detection sample generation algorithm for nighttime satellite imagery based on daytime data and machine learning application

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-78889-z

Abstract: Highly accurate nighttime cloud detection in satellite imagery is challenging due to the absence of visible to near-infrared (0.38–3 μm, VNI) data, which is critical for distinguishing clouds from other ground features. Fortunately, Machine learning… read more here.

Keywords: detection; cloud detection; satellite imagery; nighttime cloud ... See more keywords

A novel spectro-temporal index NDTeI combined with machine learning algorithm for Sentinel-2 cloud detection

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recommendations! Published in 2024 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2024.2357843

Abstract: ABSTRACT There are challenges for cloud detection over bright surfaces, especially for Sentinel-2 image without thermal band. In this paper, we developed a new cloud detection algorithm for Sentinel-2 data designed to tackle the challenges… read more here.

Keywords: detection; index; bright surfaces; algorithm sentinel ... See more keywords

GS–CDNet: a remote sensing image cloud detection method with geographic spatial data integration

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recommendations! Published in 2024 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2024.2406035

Abstract: ABSTRACT In optical remote sensing images, clouds exhibit irregular scales and boundaries that vary with elevation across diverse geographical locations. To accurately capture the diverse visual patterns of clouds, we propose a cloud image segmentation… read more here.

Keywords: detection; remote sensing; geographic spatial; cloud detection ... See more keywords

Cloud detection using infrared atmospheric sounding interferometer observations by logistic regression

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recommendations! Published in 2019 at "International Journal of Remote Sensing"

DOI: 10.1080/2150704x.2018.1553318

Abstract: ABSTRACT Hyper-spectral infrared radiance data play an important role in cloud detection. To improve the cloud detection accuracy, this study proposes a novel cloud detection method based on the logistic regression model that uses the… read more here.

Keywords: logistic regression; cloud detection; infrared atmospheric; sounding interferometer ... See more keywords

Cloud Detection Method Based on Improved DeeplabV3+ Remote Sensing Image

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3353205

Abstract: Cloud cover is a phenomenon that inevitably exists in remote sensing images, and ground information is lost due to the presence of clouds. To a large extent, it causes degradation of the remote sensing image… read more here.

Keywords: detection; method; remote sensing; cloud detection ... See more keywords

LCDNet: Light-Weighted Cloud Detection Network for High-Resolution Remote Sensing Images

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recommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3181303

Abstract: Cloud detection is one of the important links in high-resolution remote sensing image processing. Cloud detection methods can be mainly divided into the following three categories: threshold methods, clustering methods based on machine learning, and… read more here.

Keywords: network; remote sensing; detection; light weighted ... See more keywords

A Novel Spectral Indices-Driven Spectral-Spatial-Context Attention Network for Automatic Cloud Detection

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recommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2023.3260203

Abstract: Cloud detection is a fundamental step for optical satellite image applications. Existing deep learning methods can provide more accurate cloud detection results. However, the performance of these methods relies on a large number of label… read more here.

Keywords: cloud detection; detection; spectral spatial; spatial context ... See more keywords

Hyperspectral Infrared Sounder Cloud Detection Using Deep Neural Network Model

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2020.3023683

Abstract: Detection of cloud contaminated field of views (FOV) from satellite hyperspectral infrared sounders is essential for numerical weather prediction. A new cloud detection model is developed for the cross-track infrared sounder (CrIS) using the artificial… read more here.

Keywords: cris; accuracy; detection; model ... See more keywords