Key Technologies and Applications of EasyFeature—An Intelligent Interpretation System for Remote Sensing Images

HU Xiangyun; ZHANG Mi; ZHANG Zuxun; LI Xiaokai; DENG Kai; JIANG Huiwei; PANG Shiyan; RAO Youzhuo; GONG Jinqi; FENG Cunjun; ZHAN Yuanzeng; WANG Xingkun

doi:10.13203/j.whugis20240159

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Key Technologies and Applications of EasyFeature—An Intelligent Interpretation System for Remote Sensing Images

Photogrammetry and Remote Sensing | 更新时间：2026-11-05

- Key Technologies and Applications of EasyFeature—An Intelligent Interpretation System for Remote Sensing Images
- Geomatics and Information Science of Wuhan University Vol. 50, Issue 3, Pages: 554-561(2025)
- 作者机构：
  
  1.武汉大学遥感信息工程学院，湖北武汉，430079
  2.武汉大势智慧科技有限公司，湖北武汉，430223
  3.国家基础地理信息中心，北京，100830
  4.华中师范大学人工智能教育学部，湖北武汉，430079
  5.武汉汉达瑞科技有限公司，湖北武汉，430073
  6.南京工业大学测绘科学与技术学院，江苏南京，211816
  7.浙江省测绘科学技术研究院，浙江杭州，310012
  8.自然资源浙江省卫星应用技术中心，浙江杭州，310012
  9.自然资源部地理国情监测重点实验室，浙江杭州，310012
- 作者简介：
- 基金信息：
- DOI：10.13203/j.whugis20240159
  CLC： P237
- Received：24 April 2024，
  
  Published：05 March 2025
- 稿件说明：
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胡翔云,张觅,张祖勋，等.遥感影像智能解译系统EasyFeature的关键技术及应用[J].武汉大学学报（信息科学版）,2025,50(3):554-561.

HU Xiangyun,ZHANG Mi,ZHANG Zuxun,et al.Key Technologies and Applications of EasyFeature—An Intelligent Interpretation System for Remote Sensing Images[J].Geomatics and Information Science of Wuhan University,2025,50(3):554-561.
胡翔云,张觅,张祖勋，等.遥感影像智能解译系统EasyFeature的关键技术及应用[J].武汉大学学报（信息科学版）,2025,50(3):554-561. DOI：10.13203/j.whugis20240159

HU Xiangyun,ZHANG Mi,ZHANG Zuxun,et al.Key Technologies and Applications of EasyFeature—An Intelligent Interpretation System for Remote Sensing Images[J].Geomatics and Information Science of Wuhan University,2025,50(3):554-561. DOI：10.13203/j.whugis20240159

摘要

随着大数据和人工智能技术的迅猛发展，遥感影像自动解译技术取得了显著进步，但现有遥感影像自动解译方法在鲁棒性、可靠性以及精度等方面仍难以与人相媲美。面向实际生产应用需求，创建了场景-目标-像素层次关系的多要素提取模型，形成了遥感影像分类和要素提取成套技术；提出了语义信息增强与虚警再抑制机制、融合先验形状、特征匹配优化、二维－三维联合处理等变化检测新方法，以及人机智能协同的交互式地物采编思路，构建了高性能遥感影像智能解译技术体系，研发了自主知识产权软件系统EasyFeature，并在全球测图、自然资源常态化监测等国家重大工程中取得了广泛应用，降低了中国对国外同类软件的依赖。

Abstract

With the rapid development of big data and artificial intelligence technologies

significant progress has been achieved in automatic interpretation techniques for remote sensing imagery. However

the robustness

reliability

and accuracy of existing automatic interpretation methods still fall short of human-level performance when compared. To address the practical production application needs

this research has developed a multi-object extraction model that establishes a hierarchical relationship among scene-object-pixel

thereby creating a comprehensive suite of technologies for remote sensing image classification and feature extraction. It introduces novel methods for change detection

such as semantic information enhancement coupled with false alarm re-suppression mechanisms

fusion of prior shape knowledge

optimized feature matching

and 2D-3D joint processing. Furthermore

it proposes a conceptual framework for interactive land feature extraction and editing through human-computer intelligent collaboration

thus constructing a high-performance intelligent interpretation technology system for remote sensing imagery. This research has resulted in the development of an independent intellectual property software system named EasyFeature. And it has been widely applied in major national projects such as global mapping and normalized monitoring of natural resources

effectively reducing China's reliance on foreign comparable software solutions.

关键词

Keywords

references

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