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知识引导下的遥感影像智能解译方法综述

任若天 赵理君 赵旭阳 张正 李宏益 薛新华 唐娉

航空学报2026,Vol.47Issue(10):27-48,22.
航空学报2026,Vol.47Issue(10):27-48,22.DOI:10.7527/S1000-6893.2025.32103

知识引导下的遥感影像智能解译方法综述

A review of knowledge-guided intelligent interpretation methods for remote sensing imagery

任若天 1赵理君 2赵旭阳 1张正 2李宏益 2薛新华 3唐娉2

作者信息

  • 1. 中国科学院 空天信息创新研究院,北京 100094||中国科学院大学 电子电气与通信工程学院,北京 100049
  • 2. 中国科学院 空天信息创新研究院,北京 100094
  • 3. 中国电子科技集团 第二十八研究所,南京 210007
  • 折叠

摘要

Abstract

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.

关键词

遥感影像/智能解译/领域知识/深度学习/人工智能

Key words

remote sensing imagery/intelligent interpretation/domain knowledge/deep learning/artificial intelligence

分类

航空航天

引用本文复制引用

任若天,赵理君,赵旭阳,张正,李宏益,薛新华,唐娉..知识引导下的遥感影像智能解译方法综述[J].航空学报,2026,47(10):27-48,22.

基金项目

民用航天技术预先研究项目(D040404) (D040404)

中国科学院青年创新促进会项目(2022127) Civil Aerospace Technology Pre-research Project of China(D040404) (2022127)

Youth Innovation Promotion Association Project,Chinese Academy of Sciences(2022127) (2022127)

航空学报

1000-6893

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