«Development of Algorithms and Methods for Recognition and Classification of Aerospace Images Using Machine Learning for Monitoring Forest Cover in Agriculture»
Supervisor: Sarinova A.Zh.
Funding Source: Internal grant, 1,000,000 tenge
Partners: Astana IT University
Implementation Period: 2022–2023
Funding Amount: 1,000,000 tenge
Funding Source: Internal grant, 1,000,000 tenge
Partners: Astana IT University
Implementation Period: 2022–2023
Funding Amount: 1,000,000 tenge
Project Objective
The goal of the project is to create and develop algorithms and methods for recognition and classification of aerospace images using machine learning. This project will enable processing of remote sensing data, recognition and classification of objects with intelligent data processing, and application in various areas of Earth surface monitoring.
Results
1. Research and analysis of aerospace image classification methods will be conducted for subsequent recognition of various objects using machine learning techniques.
2. A method for classification of aerospace images will be developed for subsequent recognition of various objects using machine learning techniques.
3. Testing and debugging of an intelligent system for preprocessing aerospace images will be carried out, including recognition and classification modules for monitoring forests and other natural resources.
2. A method for classification of aerospace images will be developed for subsequent recognition of various objects using machine learning techniques.
3. Testing and debugging of an intelligent system for preprocessing aerospace images will be carried out, including recognition and classification modules for monitoring forests and other natural resources.