With the continuously intensification of global satellite constellation construction，the explosive growth of data and the insufficient processing capability have become the critical bottlenecks hindering the high-quality development of commercial space industry.Although the integration of artificial intelligence and aerospace remote sensing technology has improved the efficiency of remote sensing data interpretation，practical intelligent systems comparable to facial recognition remain underdeveloped.Aerospace remote sensing foundation models have the generalized capabilities in perceived information representation，fusion，interaction，and generation，and are expected to significantly enhance the automation of remote sensing product production and foster new productive forces in the aerospace remote sensing industry.This paper focuses on the technological evolution of aerospace remote sensing foundation models.The current research progresses in aerospace remote sensing foundation models are summarized，and the application prospects of aerospace remote sensing foundation models in the fields such as natural resource monitoring，disaster emergency response，and military intelligence analysis are explored.Additionally，the industrial challenges and development strategies of aerospace remote sensing foundation models are analyzed，particularly regarding data，talent，and computing power.