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Cloud detection in satellite images is an important first-step in many remote sensing applications.
“On the bayes-optimality of f-measure maximizers,”
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“A simple modal approach to the problem of meteorological object tracking,”
F. Dell’Acqua and P. Gamba, · 2000
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“An image transform to characterize and compensate for spatial variations in thin cloud contamination of landsat images,”
Y. Zhang, B. Guindon, and J. Cihlar, · 2002
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“Characterization of the landsat-7 etm+ automated cloud-cover assessment (ACCA) algorithm,”
R. R. Irish, J. L. Barker, S. Goward, and T. Arvidson, · 2006
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“Retrieving clear-sky atmospheric parameters from seviri and abi infrared radiances,”
X. Jin, J. Li, T. J. Schmit, J. Li, M. D. Goldberg, and J. J. Gurka, · 2008
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“Rectified linear units improve restricted boltzmann machines,”
V. Nair and G. E. Hinton, · 2010
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“Object-based cloud and cloud shadow detection in landsat imagery,”
Z. Zhu and C. Woodcock, · 2012
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“Adam: A method for stochastic optimization,”
D. P. Kingma and J. Ba, · 2014
Cited alongside, same era.
“Remote sensing of global volcanic eruptions using fengyun series satellites,”
L. Zhu, M. Wang, J. Shao, C. Liu, C. Zhao, and Y. Zhao, · 2015
Cited alongside, same era.
“Improvement and expansion of the fmask algorithm: cloud, cloud shadow, and snow detection for landsats 4–7, 8, and sentinel 2 images,”
Z. Zhu, S. Wang, and C. E. Woodcock, · 2015
Cited alongside, same era.
“Bag-of-words and object-based classification for cloud extraction from satellite imagery,”
Y. Yuan and X. Hu, · 2015
Cited alongside, same era.
“U-Net: Convolutional networks for biomedical image segmentation,”
O. Ronneberger, P. Fischer, and T. Brox, · 2015
Cited alongside, same era.
“Simulation and prediction of hurricane lili during landfall over the central gulf states using mm5 modeling system and satellite data,”
R. S. Reddy, D. Lu, F. Tuluri, and M. Fadavi, · 2017
Later among the works it cites.
“Improving fmask cloud and cloud shadow detection in mountainous area for landsats 4-8 images,”
S. Qiu, B. He, Z. Zhu, Z. Liao, and X. Quan, · 2017
Later among the works it cites.
“Multilevel cloud detection in remote sensing images based on deep learning,”
F. Xie, M. Shi, Z. Shi, J. Yin, and D. Zhao, · 2017
Later among the works it cites.
“A cloud detection algorithm for remote sensing images using fully convolutional neural networks,”
S. Mohajerani, T. A. Krammer, and P. Saeedi, · 2018
Later among the works it cites.
“Multi-resolutional ensemble of stacked dilated U-Net for inner cell mass segmentation in human embryonic images,”
R. M. Rad, P. Saeedi, J. Au, and J. Havelock, · 2018
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“3D U-Net: Learning dense volumetric segmentation from sparse annotation,”
Ö. Çiçek, A. Abdulkadir, So. S. Lienkamp, T. Brox, and O. Ronneberger, · 2016
Cited alongside, same era.
“Comparison of elevation change detection methods from ICESat altimetry over the greenland ice sheet,”
D. Felikson, T. J. Urban, B. C. Gunter, N. Pie, H. D. Pritchard, R. Harpold, and B. E. Schutz, · 2017
Cited alongside, same era.
“EarthExplorer,” https://earthexplorer.usgs.gov/
U.S. Geological Survey (USGS),
Cited in the paper.
“CPNet: A context preserver convolutional neural network for detecting shadows in single rgb images,”
S. Mohajerani and P. Saeedi, · 2018
Later among the works it cites.