Satellite Image Classification

Classifying satellite images is one of the most important computerized research methods in remote sensing, aiming to achieve pattern recognition of satellite information by analyzing the diverse structures within the images. This technology ensures the accuracy and reliability of classification algorithms through rigorous validation of training samples, and it is widely applied in environmental monitoring, urban planning, agricultural management, and other fields, making it highly valuable.