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Thin Cloud Detection of All-Sky Images Using Markov Random Fields
2012
IEEE Geoscience and Remote Sensing Letters
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Index Terms-All-sky cloud image, cloud detection, Markov random fields (MRFs). ...
Thin cloud detection for all-sky images is a challenge in ground-based sky-imaging systems because of low contrast and vague boundaries between cloud and sky regions. ...
Sky imager and all-sky cloud images. (a) WSC used in this study.
(b) All-sky image produced by the WSC. (c) Cropped thin cloud image. ...
doi:10.1109/lgrs.2011.2170953
fatcat:fztv3refbzdwreeerb63ajfyny
Daytime Cloud Detection Method Using the All-Sky Imager over PERMATApintar Observatory
2021
Universe
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Both methods were applied to all three images and compared in terms of cloud coverage detection. ...
The objective of this study was to test the effectiveness of these two methods in detecting daytime clouds. Three all-sky images were selected from a database system at PERMATApintar Observatory. ...
Conflicts of Interest: The authors declare no conflict of interest. Universe 2021, 7, 41 ...
doi:10.3390/universe7020041
fatcat:2gu6vn2gqzayzlar57nvnyqj64
Cloud detection methodologies: variants and development—a review
2019
Complex & Intelligent Systems
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Researchers explored various forms of Cloud detection like Cloud/ No cloud, Snow/Cloud, and Thin Cloud/Thick Cloud using various approaches of machine learning and classical algorithms. ...
Authors of [6] studied the deep learning method for cloud detection using the SPOT 6 image database. ...
Author [45] presented a conditional random field (CRF) model for cloud detection on groundbased sky. ...
doi:10.1007/s40747-019-00128-0
fatcat:ftol5w36vzdwzpuqeijsz2dct4
Onboard Spectral and Spatial Cloud Detection for Hyperspectral Remote Sensing Images
2018
Remote Sensing
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angle map (TESAM), adaptive Markov random field (aMRF) and dynamic stochastic resonance (DSR). ...
The accurate onboard detection of clouds in hyperspectral images before lossless compression is beneficial. ...
., represented spatial dependency using a prior probabilistic Markov random field [36] . ...
doi:10.3390/rs10010152
fatcat:ss75rfkrmfbb5l2u7ghixamahu
Incorporating Cloud Distribution in Sky Representation
2013
2013 IEEE International Conference on Computer Vision
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To capture variable cloudiness, we extend the concept of sky index to a random field indicating the level of cloudiness of each sky pixel in our proposed sky representation based on the Igawa sky model ...
Potential applications of our proposed sky model include sky image rendering, where sky images can be generated with an arbitrary cloud distribution at any time and any location, previously impossible ...
[13] proposed a thin cloud detection algorithm using Markov random fields, but their binary labeling algorithm can only handle images with thin clouds. ...
doi:10.1109/iccv.2013.267
dblp:conf/iccv/PengC13
fatcat:mxtnsmtwsngphhrkobwgzywwxu
Cloud Detection Methodology Based on a Sky-imaging System
2015
Energy Procedia
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First, an overview of the existing sky-imaging systems and the current cloud detection algorithms is presented. Next, the experimental setup is introduced. ...
This paper deals with an image processing methodology based on a sky-imaging system developed at the PROMES-CNRS laboratory. ...
As a consequence, the cloud detection algorithm must be as robust as possible for all kinds of sky conditions. Cloud detection consists in classifying pixels either as cloud or sky. ...
doi:10.1016/j.egypro.2015.03.198
fatcat:zgxe7zevpzhjxiuutuz3hu7kny
A cloud and cloud shadow detection method based on fuzzy c-means algorithm
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Cloud and cloud shadow detection is an important preprocess before using satellite images for different applications. ...
The detected results demonstrate that the thick and thin clouds along with their associated cloud shadows can be precisely extracted by using the FCM. ...
ACKNOWLEDGMENT The authors would like to thank the Institute of Geographic Sciences and Natural Resources Research, University of the Chinese Academy of Sciences, the National Marine Data and Information ...
doi:10.1109/jstars.2020.2987844
fatcat:qlwcjpx7vjdx3ea35bq7azfcym
Multi-Visual Feature Saliency Detection for Sea-Surface Targets through Improved Sea-Sky-Line Detection
2020
Journal of Marine Science and Engineering
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The gradient edges of the sea-surface images are enhanced using a Gaussian low-pass filter to eliminate the effect of the image gradients pertaining to the clouds, wave points, and illumination. ...
To visually detect sea-surface targets, the objects of interest must be effectively and rapidly isolated from the background of sea-surface images. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/jmse8100799
fatcat:jqrcrfq3pzeuhksed3ssm5bqkq
A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions
2022
Remote Sensing
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Given the unavailability of large, labeled Sentinel-2 training datasets, we present a multi-stage self-training approach that trains a model to perform semantic segmentation on Sentinel-2 L1C images using ...
Screening clouds, shadows, and snow is a critical pre-processing step in many remote-sensing data processing pipelines that operate on satellite image data from polar and high mountain regions. ...
We also thank the OpenStreetMap contributors for providing the background maps used in our figures, under an Open Data Commons Open Database License (ODbL) (accessed on 25 February 2022). ...
doi:10.3390/rs14081825
fatcat:ee6ognzd65h4pfzyyygs2owuoe
Development and Validation of Machine-Learning Clear-Sky Detection Method Using 1-Min Irradiance Data and Sky Imagers at a Polluted Suburban Site, Xianghe
2021
Remote Sensing
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Clear-sky detection (CSD) is of critical importance in solar energy applications and surface radiative budget studies. ...
Using five-year high resolution ground-based solar radiation data and visual inspected Total Sky Imager (TSI) measurements at polluted Xianghe, a suburban site, this study validated 17 existing CSD methods ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs13183763
fatcat:4x7vnpdpprathjaj73el26lxva
Framework to create cloud-free remote sensing data using passenger aircraft as the platform
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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This method is intended to remove cloud contamination without the requirements of reference images and pre-determination of cloud types. ...
To accomplish this, a processing framework is proposed, which includes four main steps: 1) multi-angle image acquisition from passenger aircraft, 2) cloud detection based on deep learning semantic segmentation ...
A cloud removal method based on similar pixel replacement driven by a spatiotemporal Markov random field model was previously introduced [18] . Meng et al. ...
doi:10.1109/jstars.2021.3094586
fatcat:k4ntnovqx5ag3f63ctog35fgjq
Very short-term photovoltaic power forecasting with cloud modeling: A review
2017
Renewable & Sustainable Energy Reviews
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A combination of several sources of input data like satellite and land-based sky imaging also lead to the best results for very-short term forecasting. ...
A combination of several sources of input data like satellite and land-based sky imaging also lead to the best results for very-short term forecasting. . ...
To complete the flow, a time-dependent penalty term feeds a Maximum a Posteriori Markov Random Fields (MAP-MRF) algorithm used for classification. ...
doi:10.1016/j.rser.2016.10.068
fatcat:3vmohbasanccnpd5bhk5z4m6ee
Aeolus: A Markov--Chain Monte Carlo code for mapping ultracool atmospheres. An application on Jupiter and brown dwarf HST light curves
[article]
2015
arXiv
pre-print
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Deducing the cloud cover and its temporal evolution from the observed planetary spectra and phase curves can give us major insight into the atmospheric dynamics. ...
In this paper, we present Aeolus, a Markov-Chain Monte Carlo code that maps the structure of brown dwarf and other ultracool atmospheres. ...
of thin clouds with large patches of cold and thick clouds. ...
arXiv:1510.04251v1
fatcat:f5yhqlddoze4bhfvn6tadkusyy
AWISECENSUS OF YOUNG STELLAR OBJECTS IN THE PERSEUS OB2 ASSOCIATION
2015
Astronomical Journal
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2015 pre-print arXiv:1507.02966v1 fatcat:66r37danknhtvmwjessgzqlekq
The spatial distribution of newly found YSOs all over the field shows an older generation of star formation which most of its massive members have evolved into main sequence stars. ...
the age of Per OB2 association and currently star forming sites within the cloud. ...
This research was made possible through the use of the AAVSO Photometric All-Sky Survey (APASS), funded by the Robert Martin Ayers Sciences Fund. ...
doi:10.1088/0004-6256/150/3/95
fatcat:l2qi2uralffsbbd7m7ngc6ra2a
Halos of Spiral Galaxies. I. The Tip of the Red Giant Branch as a Distance Indicator
2005
Astrophysical Journal
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We have imaged the halo populations of a sample of nearby spiral galaxies using the Wide Field Planetary Camera 2 on broad the Hubble Space Telescope with the aim of studying the stellar population properties ...
Using both the Sobel edge-detection technique and maximum-likelihood analysis to measure the I-band magnitude of the red giant branch tip, we determine distances to four nearby galaxies: NGC 253, NGC 4244 ...
Fig. 1 shows the locations of the observed halo fields, superimposed on the Digitized Sky Survey images of these galaxies. ...
doi:10.1086/468177
fatcat:qis5uun46bgvrg6bcg3mbyppca
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