人工智能驱动的遥感认知升级

封面图片为人工智能与遥感技术深度融合示意图，形象展示了新一代遥感科学由“数据感知”向“智能认知”跃迁的发展图景。伴随深度学习、跨模态融合与智能计算等技术快速演进，遥感对地球系统的观测与解析能力持续增强，实现对地球各圈层时空要素、地表目标及其演变过程的自主感知与智能解译。通过多源、多尺度遥感数据协同建模，人工智能在复杂目标识别、变化检测与知识挖掘等方面展现显著优势，成为推动遥感理论创新与应用深化的重要引擎。本期专刊15篇论文集中展示了人工智能与遥感科学交叉领域的最新进展。

Artificial intelligence–driven cognitive upgrading of remote sensing

The cover image illustrates the deep integration of artificial intelligence and remote sensing technologies, vividly depicting the developmental trajectory of next-generation remote sensing science as it transitions from “data perception” to “intelligent cognition.” With the rapid advancement of deep learning, cross-modal fusion, and intelligent computing, the capability of remote sensing to observe and analyze the Earth system has been continuously enhanced, enabling autonomous perception and intelligent interpretation of spatiotemporal elements across Earth’s spheres, surface objects, and their evolutionary processes. Through collaborative modeling of multi-source and multi-scale remote sensing data, artificial intelligence demonstrates significant advantages in complex target recognition, change detection, and knowledge mining, becoming a key driving force for theoretical innovation and application expansion in remote sensing. The 15 papers featured in this special issue collectively present the latest progress in the interdisciplinary field of artificial intelligence and remote sensing science.

拉页文字说明：图片为风云气象卫星（FY-3D、FY-3F、FY-3H）多星联合观测的南极冰山A23a 自2025 年1 月至2026 年2 月的变化图，2025 年12 月以后，因冰表快速融化，冰山颜色逐渐变蓝。