Cloud Detection from the Himawari-8 Satellite Data Using a Convolutional Neural Network

[1] Amato U.(2008)Statistical cloud detection from SEVIRI multispectral images Remote Sens. Environ. 112 750-766

[2] Antoniadis A.(2019)Using convolutional neural networks for cloud detection from Meteor-M no. 2 MSU-MR data Russ. Meteorol. Hydrol. 44 459-466

[3] Cuomo V.(2018)New neural network cloud mask algorithm based on radiative transfer simulations Remote Sens. Environ. 219 62-71

[4] Cutillo L.(2015)Preliminary assessment of the Advanced Himawari Imager (AHI) measurement onboard Himawari-8 geostationary satellite Remote Sens. Lett. 6 637-646

[5] Franzese M.(2011)A texton-based cloud detection algorithm for MSG-SEVIRI multispectral images Geomatics, Nat. Hazards Risk 2 279-290

[6] Murino L.(2016)Algorithm theoretical basis for Himawari-8 cloud mask product Meteorol. Satell. Cent. Tech. Note 61 1-17

[7] Serio C.(2019)The use of a convolutional neural network for detecting snow according to the data of the multichannel satellite device of Meteor-M No. 2 spacecraft Procedia Comput. Sci. 150 368-375

[8] Andreev A.I.(2019)Cloud masking for Landsat 8 and MODIS Terra over snow-covered terrain: Error analysis and spectral similarity between snow and cloud Water Resour. Res. 55 6169-6184

[9] Shamilova Y.A.(2016)A universal dynamic threshold cloud detection algorithm (UDTCDA) supported by a prior surface reflectance database J. Geophys. Res.: Atmos. 121 7172-7196

[10] Kholodov E.I.(2019)Intercomparisons of Cloud Mask Products Among Fengyun-4A, Himawari-8, and MODIS IEEE Trans. Geosci. Remote Sens. 57 8827-8839

[1] Amato U.(2008)Statistical cloud detection from SEVIRI multispectral images Remote Sens. Environ. 112 750-766

[2] Antoniadis A.(2019)Using convolutional neural networks for cloud detection from Meteor-M no. 2 MSU-MR data Russ. Meteorol. Hydrol. 44 459-466

[3] Cuomo V.(2018)New neural network cloud mask algorithm based on radiative transfer simulations Remote Sens. Environ. 219 62-71

[4] Cutillo L.(2015)Preliminary assessment of the Advanced Himawari Imager (AHI) measurement onboard Himawari-8 geostationary satellite Remote Sens. Lett. 6 637-646

[5] Franzese M.(2011)A texton-based cloud detection algorithm for MSG-SEVIRI multispectral images Geomatics, Nat. Hazards Risk 2 279-290

[6] Murino L.(2016)Algorithm theoretical basis for Himawari-8 cloud mask product Meteorol. Satell. Cent. Tech. Note 61 1-17

[7] Serio C.(2019)The use of a convolutional neural network for detecting snow according to the data of the multichannel satellite device of Meteor-M No. 2 spacecraft Procedia Comput. Sci. 150 368-375

[8] Andreev A.I.(2019)Cloud masking for Landsat 8 and MODIS Terra over snow-covered terrain: Error analysis and spectral similarity between snow and cloud Water Resour. Res. 55 6169-6184

[9] Shamilova Y.A.(2016)A universal dynamic threshold cloud detection algorithm (UDTCDA) supported by a prior surface reflectance database J. Geophys. Res.: Atmos. 121 7172-7196

[10] Kholodov E.I.(2019)Intercomparisons of Cloud Mask Products Among Fengyun-4A, Himawari-8, and MODIS IEEE Trans. Geosci. Remote Sens. 57 8827-8839