Cloud Removal in Satellite Images Using a Generative Adversarial Approach

Cloud Removal in Satellite Images Using a Generative Adversarial Approach

Automation of a wide range of operations in the agro-industrial sector at the current stage of technology development involves the application of advanced solutions in electronics, biotechnology, and information technologies. One of the directions of process optimization in agriculture is the introd...

Shranjeno v:

Bibliografske podrobnosti
Главные авторы:	Nikolaev, E. I., Николаев, Е. И., Zakharova, N. I., Захарова, Н. И.
Format:	Статья
Jezik:	English
Izdano:	Institute of Electrical and Electronics Engineers Inc. 2025
Teme:	Agricultural information systems Deep learning Cloud detection Cloud removal Data augmentation GAN
Online dostop:	https://dspace.ncfu.ru/handle/123456789/30654
Oznake:	Označite Brez oznak, prvi označite!

Podobne knjige/članki

An Approach to Reducing Device Uncertainty in Fog-Cloud Computing
od: Kucherov, N. N., и др.
Izdano: (2024)

Comparative analysis of basic operations of helib and microsoft seal libraries for cloud computing
od: Lapina, M. A., и др.
Izdano: (2025)

Dynamic performance-Energy tradeoff consolidation with contention-aware resource provisioning in containerized clouds
od: Babenko, M. G., и др.
Izdano: (2022)

A survey on multi-cloud storage security: threats and countermeasures
od: Bezuglova, E. S., и др.
Izdano: (2023)

Enhancing Cloud Security through Efficient Polynomial Approximations for Homomorphic Evaluation of Neural Network Activation Functions
od: Babenko, M. G., и др.
Izdano: (2024)

Artificial Gorilla Troop Optimization Based Load Balancing of Workflow Tasks in Cloud Environment
od: Lapina, M. A., и др.
Izdano: (2025)

OSSA Scheduler: Opposition-Based Learning Salp Swarm Algorithm for Task Scheduling in Cloud Computing
od: Lapina, M. A., и др.
Izdano: (2024)

Облачные технологии учебное пособие для вузов
od: Баланов А. Н.
Izdano: (2024)

Облачные технологии учебное пособие для спо
od: Баланов А. Н.
Izdano: (2024)

Облачные технологии учебное пособие для вузов
od: Баланов А. Н.
Izdano: (2025)

Neural Network System for Recognizing Images Affected by Random-Valued Impulse Noise
od: Orazaev, A. R., и др.
Izdano: (2023)

Data Storage with Increased Survivability and Reliability Based on the Residue Number System
od: Kucherov, N. N., и др.
Izdano: (2024)

Machine Learning Research Methods for Identifying Inaccurate Content
od: Lapina, M. A., и др.
Izdano: (2025)

Budgetary Support for the Financial Recovery of Agricultural Entities in Foreign Countries
od: Belousov, A. I., и др.
Izdano: (2025)

Технологии создания и публикации цифровой мультимедийной информации практикум для спо

Управление ИТ- сервисами в гуманитарной сфере учебное пособие
od: Вольфсон М. Б.
Izdano: (2014)

Data Science и интеллектуальный анализ данных учебное пособие

New method for detecting and removing random-valued impulse noise from images
od: Lyakhov, P. A., и др.
Izdano: (2023)

Интеллектуальные системы учебно-методическое пособие по лабораторным и практическим занятиям, самостоятельной и индивидуальной работе студентов
od: Суханов, А. Я.

Digital Modernization of Agriculture
od: Dolgopolov, K. A., и др.
Izdano: (2024)

Advancements in Sybil Attack Detection: A Comprehensive Survey of Machine Learning-Based Approaches in Wireless Sensor Networks
od: Lapina, M. A., и др.
Izdano: (2024)

Creation of favorable entrepreneurial ecosystems for the development of youth business in agricultural regions of the South of Russia
od: Boris, O. A., и др.
Izdano: (2022)

Generating highly nonlinear S-boxes using a hybrid approach with particle swarm optimization
od: Lapina, M. A., и др.
Izdano: (2025)

Increasing Learning Motivation Through the Use of Educational and Technological Tools
od: Savelova, L. V., и др.
Izdano: (2025)

Wavelet based approach for image compression problem учебно-методическое пособие
od: Artemov M. A.
Izdano: (2021)

Enhancing Drone Detection via Transformer Neural Network and Positive–Negative Momentum Optimizers
od: Lyakhov, P. A., и др.
Izdano: (2025)

Adaptive resource-saving technologies in agriculture: the role of biotechnologies and their impact on environmental safety
od: Belousov, I. N., и др.
Izdano: (2024)

Agricultural machines. Sowing machines study aid

Digital tools for HR management in agriculture: challenges and opportunities
od: Fursov, V. A., и др.
Izdano: (2024)

Mathematical Model of the OFDM System that Fends Off the Consequences of Failures Using Modular Codes
od: Kalmykov, I. A., и др.
Izdano: (2024)

Funding projects for sustainable agriculture and resource-efficient practices
od: Mezentseva, E. S., и др.
Izdano: (2024)

Sociological Assessment and Modeling of Socio-economic Problems of the Agrarian Sector in Drylands
od: Zvereva, L. A., и др.
Izdano: (2023)

Social factors for achieving sustainable development of an agricultural region
od: Vartanova, L. R., и др.
Izdano: (2024)

The Third Generation
od: Conan D. A.
Izdano: (2013)

Методы инспекции пакетов и анализа трафика. Технология Deep Packet Inspection учебно-методическое пособие
od: Гольдштейн Б. С.
Izdano: (2018)

Comparative Analysis and Development of Recommendations for the Use of Machine Learning Methods to Identify Network Traffic Anomalies in the Development of a Subsystem for User Behavioral Analysis
od: Govorova, S. V., и др.
Izdano: (2024)

Removed from Accident of Loss
od: Emily E. D.
Izdano: (2013)

Investigation of Neural Network Methods for Error Detection and Correction in the Residue Number System
od: Lutsenko, V. V., и др.
Izdano: (2024)

The role of intelligent control systems in optimizing production processes in agriculture
od: Babich, A. A., и др.
Izdano: (2024)

Evaluation of the Toxicity of Copper Oxide Nanoparticles toward Pea Seeds
od: Nagdalian, A. A., и др.
Izdano: (2025)