Pinned Repositories
MSU-FSR-ML
Faculty of Space Research, Lomonosov Moscow State University
bloood555glory
Config files for my GitHub profile.
CLOUD_SNOW_SEGMENTATION
Research work for cloud and snow segmentation problem using meteorological satellite Electro-L №2 multispectral data, also suitable for GOES-16,17 multispectral data. This project includes all needed functions and utils for preprocessing multispectral data to make your own dataset for cloud and (or) snow segmentation problem
Environmental_Structures_Augmentations
Custom augmentations for semantic segmentation task of environmental & climate structures for remote sensing multispectral imagery
GeoInfoNet_Levir_CS_Improvements
This project is dedicated to the work Wu at al 2021 and improvements of its results using modified strategies of learning NN, augmentations & other tricks to reach better cloud & snow segmentation results on Levir_CS dataset remote sensing multispectral images from Gaofen-1
intro_ml_2021
mpia
Multipart image augmentation
MSU-FSR-ML
ML_FSR
NN_satellite_state_vec_Corrector_
TLE-to-state vector SGP4 model corrector via neural network according ILRS cpf predictions
Nikita-Belyakov's Repositories
Nikita-Belyakov/CLOUD_SNOW_SEGMENTATION
Research work for cloud and snow segmentation problem using meteorological satellite Electro-L №2 multispectral data, also suitable for GOES-16,17 multispectral data. This project includes all needed functions and utils for preprocessing multispectral data to make your own dataset for cloud and (or) snow segmentation problem
Nikita-Belyakov/NN_satellite_state_vec_Corrector_
TLE-to-state vector SGP4 model corrector via neural network according ILRS cpf predictions
Nikita-Belyakov/Environmental_Structures_Augmentations
Custom augmentations for semantic segmentation task of environmental & climate structures for remote sensing multispectral imagery
Nikita-Belyakov/bloood555glory
Config files for my GitHub profile.
Nikita-Belyakov/GeoInfoNet_Levir_CS_Improvements
This project is dedicated to the work Wu at al 2021 and improvements of its results using modified strategies of learning NN, augmentations & other tricks to reach better cloud & snow segmentation results on Levir_CS dataset remote sensing multispectral images from Gaofen-1
Nikita-Belyakov/intro_ml_2021
Nikita-Belyakov/mpia
Multipart image augmentation
Nikita-Belyakov/MSU-FSR-ML
ML_FSR