Remote sensing underpins environmental monitoring and Earth science.The expansion of satellites and observation platforms drives a substantial increase in multi-source remote sensing data.The land-air-space multi-sens...Remote sensing underpins environmental monitoring and Earth science.The expansion of satellites and observation platforms drives a substantial increase in multi-source remote sensing data.The land-air-space multi-sensor stereoscopic observation heralds a new era of intelligent photogrammetry and digital infrastructure.However,the inherent complexity of multi-source data(spanning spatial,spectral,and temporal domains)poses challenges for observation,interpretation,and decision.1 The rapid advancement of artificial intelligence(AI)injects new vitality into the intelligent remote sensing by reshaping systems:from overcoming imaging limitations through enhanced visual observation to elevating knowledge dimensions via semantic understanding and ultimately enabling intelligent decision-making(Figure 1).This commentary examines how AI enhances visual observation,facilitates semantic transition,and empowers intelligent decision-making.These advancements provide support for the paradigm shift from data acquisition to cognitive services.展开更多
基金funded by the National Natural Science Foundation of China(U21B2027)the Natural Science Foundation of Jiangsu Province(BK20241280)the Start-up Research Fund of Southeast University(RF1028623006 and RF1028624061).
文摘Remote sensing underpins environmental monitoring and Earth science.The expansion of satellites and observation platforms drives a substantial increase in multi-source remote sensing data.The land-air-space multi-sensor stereoscopic observation heralds a new era of intelligent photogrammetry and digital infrastructure.However,the inherent complexity of multi-source data(spanning spatial,spectral,and temporal domains)poses challenges for observation,interpretation,and decision.1 The rapid advancement of artificial intelligence(AI)injects new vitality into the intelligent remote sensing by reshaping systems:from overcoming imaging limitations through enhanced visual observation to elevating knowledge dimensions via semantic understanding and ultimately enabling intelligent decision-making(Figure 1).This commentary examines how AI enhances visual observation,facilitates semantic transition,and empowers intelligent decision-making.These advancements provide support for the paradigm shift from data acquisition to cognitive services.
