知识引导下的遥感影像智能解译方法综述OA

With the rapid advancement of remote sensing technology and the growing demand for its applications,in-telligent interpretation of remote sensing imagery has emerged as a prominent research focus.Knowledge,defined as the comprehension,experience,and information about specific domains or phenomena,plays a crucial role in en-hancing interpretation models'capacity to analyze and process remote sensing data.In addition to improving interpre-tation accuracy and reducing dependence on annotated data,knowledge significantly strengthens model robustness in complex and uncertain scenarios,thereby providing essential support for the intelligent processing of multi-source het-erogeneous remote sensing data.This paper first reviews the evolutionary trajectory of knowledge-guided intelligent in-terpretation methods for remote sensing imagery,subsequently summarizes the commonly used types of knowledge in interpretation tasks,and then proceeds to compare the effectiveness and advancement of different knowledge-driven approaches at multiple levels.Finally,the paper provides a summary and outlook on the future development of knowledge-guided intelligent interpretation methods for remote sensing imagery.