JUSTIFICATION FOR THE SELECTION OF THE OPERATING RANGE AND METHODS FOR FORMING REFERENCE IMAGES FOR ADVANCED CORRELATION-EXTREMAL NAVIGATION SYSTEMS

The article substantiates the selection of the optimal operational range for advanced correlation-extremal navigation systems, emphasizing their critical role in modern navigation. The analysis includes a detailed comparison of the optical and radiometric ranges, examining their technical and operational characteristics to identify the most effective solutions for various applications. Optical ranges offer high spatial resolution and precision, while radiometric ranges are more robust under challenging environmental conditions, such as low visibility or adverse weather. One of the key findings highlights the importance of forming accurate reference images, which serve as a foundation for the efficient functioning of correlation-extremal navigation systems. The process of creating these reference images often demands significant time and resources, which can limit system adaptability and responsiveness. To address this challenge, the article explores state-of-the-art methods for reference formation and proposes the integration of machine learning algorithms to automate this process. This automation reduces preparation time, improves accuracy, and ensures that systems remain efficient in dynamic and complex operational environments. Furthermore, the study introduces an innovative approach using neural networks to enhance navigation system performance. Neural networks are employed to determine optimal flight trajectories, select ideal attachment areas for aerial vehicles, and develop detailed target models. These advancements contribute to improved operational efficiency, enabling navigation systems to adapt to varying mission requirements and environmental conditions. The research underscores the growing potential of artificial intelligence in navigation technologies. Machine learning and neural networks can significantly reduce computational demands while increasing accuracy and speed. Such advancements are critical for both civilian and military applications, where precision and reliability are paramount. The findings of this study offer valuable insights for the development of next-generation navigation systems. By leveraging advanced algorithms and artificial intelligence, these systems can achieve greater accuracy, adaptability, and operational efficiency, setting a new standard for modern navigation technologies. The proposed solutions provide a pathway for the ongoing evolution of navigation systems, ensuring their relevance and effectiveness in a rapidly changing technological landscape.