Rethinking the Authority of Remote Sensing News and Its Risk Governance in the AIGC Era

ZHANG Xinchang; QI Ji; SHI Tiandong; CUI Hao

doi:10.13203/j.whugis20260316

您当前的位置：

首页 >

文章列表页 >

Rethinking the Authority of Remote Sensing News and Its Risk Governance in the AIGC Era

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

- Rethinking the Authority of Remote Sensing News and Its Risk Governance in the AIGC Era
- Geomatics and Information Science of Wuhan University Vol. 51, Issue 10, Pages: 2124-2134(2026)
- 作者机构：
  
  1.广州大学地理科学与遥感学院，广东广州，510006
  2.新疆大学地理与遥感科学学院，新疆乌鲁木齐，830017
  3.中南大学地球科学与信息物理学院，湖南长沙，410083
  4.武汉大学测绘遥感信息工程全国重点实验室，湖北武汉，430079
- 作者简介：
- 基金信息：
- DOI：10.13203/j.whugis20260316
  CLC： P237
- Received：20 September 2026，
  
  Published：05 October 2026
- 稿件说明：
移动端阅览
张新长,齐霁,时天东，等.AIGC时代下遥感新闻权威性的反思与风险治理研究[J].武汉大学学报（信息科学版）,2026,51(10):2124-2134.

ZHANG Xinchang,QI Ji,SHI Tiandong,et al.Rethinking the Authority of Remote Sensing News and Its Risk Governance in the AIGC Era[J].Geomatics and Information Science of Wuhan University,2026,51(10):2124-2134.
张新长,齐霁,时天东，等.AIGC时代下遥感新闻权威性的反思与风险治理研究[J].武汉大学学报（信息科学版）,2026,51(10):2124-2134. DOI：10.13203/j.whugis20260316

ZHANG Xinchang,QI Ji,SHI Tiandong,et al.Rethinking the Authority of Remote Sensing News and Its Risk Governance in the AIGC Era[J].Geomatics and Information Science of Wuhan University,2026,51(10):2124-2134. DOI：10.13203/j.whugis20260316

摘要

随着生成式人工智能（artificial inteligence generated content

AIGC）技术的兴起，遥感影像在新闻传播中眼见为实的权威性面临前所未有的挑战，因此旨在系统探讨遥感新闻权威性的社会建构过程、公众的感知模式及其在AIGC冲击下的潜在风险。首先，通过理论分析，解构遥感新闻权威性的三级建构机制，并据此提出关于公众感知的研究假设。其次，为验证这些假设，设计并实施一项包含412份有效样本的问卷调查。实证结果显示，公众总体上对遥感影像表现出较低的疑伪倾向，呈现出具有条件性的真实性预设；相关专业背景有助于改善遥感影像的辨识表现，但这种优势具有领域限定性，未能稳定延伸至非遥感影像。最后，分析AIGC技术造成的影像生成能力与鉴别、溯源及新闻核验能力之间的不对称，以及由此引发的虚假影像被采信与真实证据被否认的双重风险，并从来源认证、传播核验、媒介素养、法律约束与事实核查等方面提出相应的治理对策，为理解AIGC时代遥感新闻权威性的形成及其真实性风险提供了理论与实践参考。

Abstract

Objectives

Artificial inteligence generated content (AIGC) has sharply lowered the technical threshold for creating and editing remote sensing images

challenging the authority that such images have traditionally acquired from their apparent mechanical objectivity

institutional provenance

and evidentiary use in news narratives. The research addresses three connected questions: How the authority of remote sensing news is constructed

how audiences perceive the authenticity of remote sensing images

and how emerging authenticity risks can be governed.

Methods

Drawing on the sociology of scientific knowledge and visual communication

an analytical framework is developed at three levels: mechanical objectivity derived from technological recording

institutional trust transferred from scientific and journalistic organizations

and evidentiary meaning produced through visual framing. Audience perception is examined through an online questionnaire containing image-judgment tasks. A total of 412 valid responses were collected

and descriptive statistics and group comparisons were used to assess suspicion toward remote sensing and non-remote-sensing images

the detection of AI-generated images

false judgments of authentic images

and the cues used by respondents with different professional backgrounds.

Results

The results reveal a conditional authenticity presumption in favor of remote sensing images. In paired tasks where the objective authenticity of the images was held constant

the average proportion of respondents suspecting non-remote-sensing images was 56.1%

compared with 43.9% for remote sensing images. This relative trust advantage was not universal: prominent morphological anomalies

spatial conflicts

or other visual inconsistencies could override the effect of image type. Relevant educational or occupational experience improved performance mainly within the remote sensing domain. Respondents with partial or combined relevant backgrounds achieved higher detection rates for AI-generated remote sensing images than respondents without such backgrounds

while also producing fewer false judgments of authentic remote sensing images. Their attention shifted from surface features such as color

lighting

and unnatural edges toward physical plausibility

structural consistency

and the relationship between images and captions. However

the same advantage did not extend consistently to non-remote-sensing images

indicating that professional expertise provides domain-specific rather than general immunity to synthetic visual misinformation.

Conclusions

The central risk in the AIGC era therefore lies in the growing asymmetry between image-generation capabilities and the capacities for detection

provenance tracing

and journalistic verification. Synthetic images may exploit the professional appearance of remote sensing data to gain credibility

while authentic evidence may be rejected because any image is assumed to be generatable. Effective governance requires a coordinated framework that combines source authentication

verification throughout the communication process

platform labeling and accountability

public media literacy

legal constraints

and independent fact-checking. Such a framework can shift the basis of trust in remote sensing news from intuitive visual credibility to verifiable evidence-production processes.

关键词

Keywords

references

张过，贺大为，关晴，等 . 全媒体时代遥感新闻学［J］. 武汉大学学报（信息科学版）， 2021 ， 46 （ 4 ）： 469 - 478 .

ZHANG Guo ， HE Dawei ， GUAN Qing ， et al . Remote Sensing Journalism in the Omnimedia Era ［J］. Geomatics and Information Science of Wuhan University ， 2021 ， 46 （ 4 ）： 469 - 478 .

PORTER T M . Trust in Numbers： The Pursuit of Objectivity in Science and Public Life ［M］. Princeton ： Princeton University Press ， 2020 .

SABINS F F ， ELLIS J M . Remote Sensing： Principles， Interpretation， and Applications， Fourth Edition ［M］. Long Grove ： Waveland Press ， 2020 .

LISZKA J J . A General Introduction to the Semiotic of Charles Sanders Peirce ［M］. Indiana ： Indiana University Press ， 1996 .

MACEACHREN A . How Maps Work： Representation， Visualization & Design ［M］. New York ： Guilford Press ， 1995 .

XU H ， LU C ， ZHANG H ， et al . Artificial Intelligence-Assisted Remote Sensing Observation， Understanding， and Decision ［J］. The Innovation ， 2025 ， 6 （ 12 ）： 101016 .

RICHARD Y ， EUGENE A R ， THOMAS D . Footprints on the Earth： The Environmental Consequences of Modernity ［EB/OL］.（ 2024-03-12 ）［ 2026-04-27 ］. https：//journals.sagepub.com/doi/abs/10.1177/000312240306800205 https://journals.sagepub.com/doi/abs/10.1177/000312240306800205 .

INKELES A ， BROADED C M ， CAO Z D . Causes and Consequences of Individual Modernity in China ［J］. The China Journal ， 1997 ， 37 ： 31 - 59 .

乔柯，钟昊熹，冯春，等 . 卫星新闻的融合传播意义及生产流程研究［J］. 对外传播， 2022 （ 8 ）： 67 - 71 .

QIAO Ke ， ZHONG Haoxi ， FENG Chun ， et al . Research on the Significance and Production Process of Satellite News Fusion Communication ［J］. International Communications ， 2022 （ 8 ）： 67 - 71 .

RODRIGUEZ L ， DIMITROVA D V . The Levels of Visual Framing ［J］. Journal of Visual Literacy ， 2011 ， 30 （ 1 ）： 48 - 65 .

BRANTNER C ， LOBINGER K ， WETZSTEIN I . Effects of Visual Framing on Emotional Responses and Evaluations of News Stories About the Gaza Conflict 2009 ［J］. Journalism & Mass Communication Quarterly ， 2011 ， 88 （ 3 ）： 523 - 540 .

VREESE C H . News Framing： Theory and Typology ［J］. Information Design Journal ， 2005 ， 13 （ 1 ）： 51 - 62 .

MANOKHA I . Surveillance， Panopticism， and Self-Discipline in the Digital Age ［J］. Surveillance & Society ， 2018 ， 16 （ 2 ）： 219 - 237 .

KWAN M P . Feminist Visualization： Re-Envisioning GIS as a Method in Feminist Geographic Research ［J］. Annals of the Association of American Geographers ， 2002 ， 92 （ 4 ）： 645 - 661 .

Tiny NASA Satellite Will Soon See “Rainbows” in Clouds-NASA ［EB/OL］. （ 2019-10-28 ）［ 2025-09-23 ］. https：//www.nasa.gov/centers-and-facilities/goddard/tiny-nasa-satellite-will-soon-see-rainbows-in-clouds/ https://www.nasa.gov/centers-and-facilities/goddard/tiny-nasa-satellite-will-soon-see-rainbows-in-clouds/ .

科学网 . 卫星发现甲烷泄漏，但“超级排放者”不采取行动［EB/OL］. （ 2024-11-13 ）［ 2025-09-23 ］. https：//news.sciencenet.cn/htmlnews/2024/11/534449.shtm https://news.sciencenet.cn/htmlnews/2024/11/534449.shtm .

ScienceNet . Satellites Detect Methane Leaks， but “Super Emitters” Take No Action ［EB/OL］. （ 2024-11-13 ）［ 2025-09-23 ］. https：//news.sciencenet.cn/htmlnews/2024/11/534449.shtm https://news.sciencenet.cn/htmlnews/2024/11/534449.shtm .

张新长，赵元，齐霁，等 . 基于AI大模型的文生图技术方法研究及应用［J］. 地球信息科学学报， 2025 ， 27 （ 1 ）： 10 - 26 .

ZHANG Xinchang ， ZHAO Yuan ， QI Ji ， et al . Research and Application of Text-to-Image Technology Based on Al Foundation Models ［J］. Journal of Geo⁃Information Science ， 2025 ， 27 （ 1 ）： 10 - 26 .

QI J ， ZHANG X C ， YE D Q ， et al . SFNet： Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery Detection ［J］. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ， 2025 ， 18 ： 28563 - 28578 .

DESIGN A . Behind the Design： Adobe Content Authenticity App ［EB/OL］. （ 2023-5-19 ）［ 2025-09-29 ］. https：//adobe.design/stories/process/behind-the-design-adobe-content-authenticity-app https://adobe.design/stories/process/behind-the-design-adobe-content-authenticity-app .

KOVACH B ， ROSENSTIEL T . The Elements of Journalism， Revised and Updated 4th Edition： What Newspeople Should Know and the Public Should Expect ［M］. New York ： Crown ， 2021 .

GILLESPIE T . Custodians of the Internet： Platforms， Content Moderation， and The Hidden Decisions That Shape Social Media ［M］. New Haven ： Yale University Press ， 2018 .

HOBBS R ， JENSEN A . The Past， Present， and Future of Media Literacy Education ［J］. Journal of Media Literacy Education ， 2009：， 1 （ 1 ）： 1 - 11 .

ODUNTAN G . Geospatial Sciences and Space Law： Legal Aspects of Earth Observation， Remote Sensing and Geoscientific Ground Investigations in Africa ［J］. Geosciences ， 2019 ， 9 （ 4 ）： 149 .

CHAPAGAIN D ， KSHETRI N ， ARYAL B . Deepfake Disasters： A Comprehensive Review of Technology， Ethical Concerns， Countermeasures， and Societal Implications ［C］// International Conference on Emerging Trends in Networks and Computer Communications （ETNCC）， Windhoek， The Republic of Namibia ， 2024 .

GRAVES L . Deciding What's True： The Rise of Political Fact-Checking in American Journalism ［M］. New York ： Columbia University Press ， 2016 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Intelligent Computational Representation of Urban Imagery

High-Resolution L-Band InSAR Study of Intense Near-Field Deformation Associated with Shallow Moderate Earthquakes

Spatiotemporal Intelligence： Theory and Applications

Development and Prospects of Spaceborne Greenhouse Gas LiDAR Technology

Tectonic Geodesy： Research Advancements， Opportunities， and Challenges

Related Author

HUANG Yingjing

ZHANG Fan

LI Yong

WU Lun

LIU Yu

Related Institution

Insititute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University

Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology

AI问答

⁰