Advances in International Computer Science

The continuous expansion of urban construction has led to a significant increase in the number of buildings within cities. During urban planning, resource management, and safety administration, accurate and rapid acquisition of building information has become crucial for urban development. With the application of remote sensing technology, high-resolution imagery serves as vital data for urbanization projects, providing richer and more detailed spatial information about buildings. Meanwhile, advancements in deep learning technology have become essential for innovative applications of remote sensing, effectively addressing issues in traditional image analysis. As hardware performance improves, the development of spaceborne platforms has expanded remote sensing applications. The integration of deep learning into these platforms enables real-time processing of remote sensing images, significantly reducing time and resources required. This paper focuses on Unet network-based high-resolution remote sensing image building extraction technology under spaceborne platforms, aiming to provide insights for future technological innovation.

Spaceborne platform; Unet network; High resolution remote sensing image; Building extraction