农业大数据学报2026，Vol.8Issue(1)：19-23,5.DOI:10.19788/j.issn.2096-6369.200009
人工智能认知范式升级与量子遥感纪元开启
The Upgrade of Artificial Intelligence Cognitive Paradigms and the Dawn of the Quantum Remote Sensing Era
摘要
Abstract
Artificial intelligence theories and technologies,particularly deep learning,demonstrate immense potential in bridging macroscopic and microscopic cognition,opening innovative pathways for cross-scale isomorphic mapping and high-fidelity information processing in traditional remote sensing paradigms,thereby propelling the profound transformation from classical physical remote sensing to quantum remote sensing paradigms.This paper proposes a new paradigm theory for remote sensing parameter inversion based on deep learning,with its core being to regard the multi-layer neuron structure of deep learning as"quantum integral transmission units"in the microscopic world,thereby organically coupling the physical radiative transfer process with high-dimensional statistical measures,achieving seamless bridging between quantum-level fluctuations and macroscopic observations.Logical analysis shows that this paradigm is based on the exponential refinement of information granularity in silicon-based computing,breaking the constraints of traditional manual coordinate system design,realizing the automatic generation of universal coordinate systems,and gradually approaching the intrinsic granularity level of nature to minimize energy information loss.Furthermore,deep learning achieves a continuous connection from quantum interactions to macroscopic understanding,with its information processing resolution gradually approaching the intrinsic level of nature as computing power increases,and significantly reducing distortion in cross-scale mapping.Computing power and energy will become core production factors,while deep learning,as a"universal coordinate system generator,"experienced qualitative acceleration from the late 20th century to the early 21st century.This paradigm theory marks a milestone breakthrough in the"coordinate system construction movement"that has lasted nearly three thousand years in human cognitive history and mathematical history,formally ushering in the quantum remote sensing era.Looking to the future,the collaborative evolution of software and hardware will prompt deep learning to nurture a multi-granularity new"quantum"language,becoming a new sensory organ and new brain for human collective cognition,producing profound impacts on remote sensing technology innovation and fields such as agricultural meteorological monitoring.关键词
人工智能/AI认知理论/量子遥感Key words
artificial intelligence/AI cognitive theory/quantum remote sensing引用本文复制引用
毛克彪..人工智能认知范式升级与量子遥感纪元开启[J].农业大数据学报,2026,8(1):19-23,5.基金项目
中央级公益性科研院所基本科研业务费专项(No.Y2025YC86) （No.Y2025YC86）
宁夏科技厅自然科学基金重点项目(No.2024AC02032). （No.2024AC02032）
