Remote Sensing Change Detection

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Overview

Remote sensing change detection compares images of the same place across time to locate changes such as new buildings, disaster damage, forest loss, or shifting land cover. Methods range from paired convolutional networks and Transformers to state-space models, foundation-model features, and optical–SAR fusion; newer systems also classify change types or describe them in language. Research explores supervised learning alongside unsupervised, weakly supervised, and open-vocabulary approaches that reduce reliance on pixel-level labels. A central challenge is distinguishing real change from misregistration, seasonal or sensor differences, while ensuring models transfer across locations and remain efficient in practical monitoring settings.

Latest papers

CardsList

89 papers3 papers in the last four weeks, down 67% on the four weeks before. 0.0% of all new papers.

  1. CoDeRNet: Selective Cross-Task Routing under Heterogeneous Supervision for Change Detection and Captioning

    Oct 26, 2026Eunki Cho, Hyeon Bae Kim, Seong Tae KimRemote Sensing Image Change CaptioningRemote Sensing Change Detection

    Kyung Hee University, Republic of Korea

  2. ChangeT3^3: Evaluating Vision Test-Time Training for Remote Sensing Change Detection

    Oct 11, 2026Sharukshan Niranjan, Oshadha Samarakoon, Nichula Wasalathilaka +3Remote Sensing Change DetectionTest-Time Training

    University of Peradeniya, Peradeniya, Sri Lanka

  3. A Two-Stage Cascade for Near-Real-Time Forest Anomaly Detection from Sentinel-1 SAR Time Series

    Oct 2, 2026Pann Thinzar Seint, Subas Chhatkuli, Bryan AtwoodRemote Sensing Change DetectionTime-Series Anomaly Detection

    DAI Labs, K.K.

  4. Embedded Bi-Temporal Building Damage Assessment for On-Board Data Reduction

    Sep 29, 2026Thomas Goudemant, Benjamin Francesconi, Marjorie Bellizzi +1Disaster Damage AssessmentBuilding Damage Assessment

    IRT Saint Exupéry, France · CNES, France

  5. PoE-Fuse: Precision-Weighted Expert Fusion for Bi-Temporal Change Understanding

    Sep 27, 2026Haruki Watase, Shunya Nagashima, Takayuki NishimuraRemote Sensing Change DetectionRemote Sensing

    Neurogica Inc., Tokyo, Japan

  6. Region-Local Copula Evidence Fusion for Heterogeneous Remote Sensing Change Detection

    Sep 26, 2026Zhiyuan Ji, Junjun Yin, Jian YangRemote Sensing Change Detection

    Department of Electronic Engineering, Tsinghua University, Beijing 100084, P.R. China · School of Computer and Communication Engineering, University of Science and Technology Beijing, P.R. China

  7. From Change Captions to Change Detection: Semantic-Appearance Agreement Framework for Remote Sensing Change Detection

    Sep 23, 2026Yuan Qian, Jie MaRemote Sensing Change DetectionRemote Sensing

    School of Information Science and Technology, Beijing Foreign Studies University, Beijing 100089, China

  8. Temporally Ordered Region-Token Mamba with Logit-Space Diffusion for Remote Sensing Change Detection

    Sep 22, 2026Anuvab Sen, Maneet Chatterjee, Aparup Ghosh +3Remote Sensing Change DetectionDiffusion Models

    Georgia Institute of Technology · Indian Institute of Engineering Science and Technology (IIEST), Shibpur · Nanyang Technological University +2

  9. Earth Surface Immune System for Rapid Monitoring of Unknown Anomalies

    Sep 17, 2026Jingtao Li, Qian Zhu, Xinyu Wang +3Remote Sensing Change DetectionAnomaly Localization

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, P. R. China. · School of Remote Sensing and Information Engineering, Wuhan University, P. R. China.

  10. Selective Tool Use for Agentic Change Visual Question Answering in Remote Sensing

    Sep 13, 2026Yakoub Bazi, Mohamad M. Al Rahhal, Mohamed A. Mekhtiche +1Remote Sensing VQATool Use in VLMs

    Computer Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia · Applied Computer Science Department, College of Applied Computer Science, King Saud University, Riyadh 11543, Saudi Arabia

  11. From Pixels to Hierarchical Sequences: Quadtree Mask Encoding for Vision-Language Binary Change Detection

    Sep 9, 2026Xiao An, Ruikang Zhang, Chen Zhong +4Vision-Language ModelsRemote Sensing Change Detection

    Wuhan University · Peking University · Shanghai Artificial Intelligence Laboratory

  12. From Coordinates to Candidate Regions: Temporal Change Localization via Region Selection in Remote Sensing Multimodal LLMs

    Sep 8, 2026Juwan Chung, Sungjune Park, Yeongyun Kim +1Multimodal Large Language ModelsRemote Sensing Change Detection

    Integrated Vision Language Lab, KAIST, South Korea

  13. Progressive Pseudo-Label Optimization for Point-Supervised Change Detection

    Sep 2, 2026Hailong Ning, Hao Wang, Yimeng Wang +3Remote Sensing Change DetectionPseudo-Labeling

    Xi’an University of Posts and Telecommunications · Dalian Maritime University · School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology +2

  14. A comprehensive and trustworthy benchmark of AI methods for change detection in Earth observation

    Aug 28, 2026Tadej Tomanič, Alice Baudhuin, Jan Sotošek +4Remote Sensing Change DetectionRemote Sensing Benchmarks

  15. Learning Woody Clearing With Loss Alignment for Zero-Shot Regrowth and Woody Segmentation

    Aug 27, 2026Kal Backman, Jared Wood, Adam RoffRemote Sensing Change DetectionRemote Sensing Image Segmentation

    New South Wales Department of Climate Change, Energy, the Environment and Water, Parramatta, 2150, NSW, Australia

  16. Real-World Knowledge-Guided Change Data Synthesis for Remote Sensing

    Aug 25, 2026Yaoyi Qi, Xingxing Weng, Chao Pang +5Synthetic Data GenerationSynthetic Data Augmentation

    School of Artificial Intelligence, Wuhan University · Wuhan AI Research · Institute of Automation, University of Chinese Academy of Sciences +1

  17. Fidelity-Diversity-Consistency (FDC): Data Pruning for Remote Sensing Change Detection

    Aug 22, 2026Dongyao Zhu, Ranga Raju VatsavaiDataset PruningRemote Sensing Change Detection

    Department of Computer Science North Carolina State University Raleigh, North Carolina, USA

  18. Monitoring Pasture Restoration from Satellite Image Time Series: Caveats and Opportunities

    Aug 18, 2026Linnea Sartorius, Isak Randahl, Delia Fano Yela +3Remote SensingRemote Sensing Image Understanding

    Lund University · RISE Research Institutes of Sweden · Climate AI Nordics +1

  19. On the Adversarial Robustness of Remote Sensing Semantic Change Detection

    Aug 15, 2026Weikang Yu, Yonghao Xu, Pedram GhamisiAdversarial RobustnessAdversarial Attacks

    Helmholtz Institute Freiberg for Resource Technology, Helmholtz-Zentrum Dresden-Rossendorf, 09599 Freiberg, Germany · Department of Electrical Engineering, Linköping University, 58183 Linköping, Sweden

  20. Remote Sensing and Machine Learning-Based Analysis of Land Use and Vegetation Change in Dhaka District, Bangladesh

    Aug 12, 2026Muhammad Masud Tarek, Md. Alamgir Hossain, Md. Samiul Islam +1Remote Sensing Change Detection

    a, b, dDepartment of Computer Science and Engineering, State University of Bangladesh, Dhaka, Bangladesh · b, c, dSkill Morph Research Lab., Skill Morph, Dhaka, Bangladesh · cDepartment of Computer Science, American International University - Bangladesh, Dhaka, Bangladesh

  21. Zero-OVCD: Bridging Training-Free Foundation Models and Pseudo-Label Learning for Open-Vocabulary Change Detection

    Aug 12, 2026Daifeng Peng, Yuanke Peng, Haiyan GuanRemote Sensing Change DetectionPseudo-Labeling

    School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

  22. AdaDINO: Pair-Aware In-Backbone Adaptation of Frozen DINO for Efficient Remote Sensing Change Detection

    Aug 8, 2026Xu Zhang, Xinqing Li, Jianpeng Xie +3Vision Foundation Model AdaptationRemote Sensing Change Detection

    VCIP, College of Computer Science, Nankai University · School of Computer Science and Engineering, Tianjin University of Technology · Academy for Advanced Interdisciplinary Studies, Nankai University +1

  23. CogVis: Must Open-Vocabulary Change Detection Perceive the Scene Anew for Every Query?

    Aug 6, 2026Zijie Wang, Chen Zhong, Wei HeRemote Sensing Change DetectionSemantic Change Detection

    Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University Wuhan, China

  24. LoDA: A Level of Detection Aware Method and a Multimodal Sensing Benchmark for Object Level Change Detection

    Aug 5, 2026Haitian Wang, Xinyu Wang, Sheldon Fung +2Autonomous Driving PerceptionRemote Sensing Change Detection

    Western Australia Machine Intelligence Group Pty Ltd Nedlands, WA, Australia · Department of Computer Science and Software Engineering The University of Western Australia Crawley, WA, Australia

  25. EchoChange: A Diffusion Language Model with Dual Pass Remasking for Factual Remote Sensing Disaster Change Captioning

    Aug 3, 2026Dongwei Sun, Bowen Yao, Yujie Zhang +3Remote Sensing Image UnderstandingMasked Diffusion Models

    School of Computer Science and Technology and the Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi’an Jiaotong University, 710049, China · School of Computer Science and Technology, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China · State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China

  26. Finding Change in Satellite Archives from Text: How to Combine Before-and-After Images Efficiently

    Jul 30, 2026Simon Roy, Mark Bong, Giovanni BeltrameCross-Modal RetrievalFeature Fusion

    Polytechnique Montréal, Montréal, QC, Canada

  27. FootprintNet: State-Transition-Guided Dynamic Footprint Learning for Multi-temporal Remote Sensing Change Detection

    Jul 30, 2026Haotian Zhang, Hao Chen, Han Guo +2Remote Sensing Change DetectionSemantic Change Detection

    Beihang University1 · Shanghai Artificial Intelligence Laboratory2 · Beihang University1,⋆

  28. Next-Frequency Autoregressive Modeling for Remote Sensing Change Detection

    Jul 28, 2026Luqi Gong, Yue Chen, Qixin Xie +3Visual Autoregressive ModelsFrequency-Domain Feature Learning

    Research Center for Space Computing System, Zhejiang Lab, Hangzhou 311121, China · State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China · College of Economics and Management, South China Agricultural University, Guangzhou 510642, China

  29. Monitoring Post-Disaster Urban Recovery Using High-Resolution SAR Time Series and Unsupervised Learning: Evidence from the 2023 Türkiye-Syria Earthquake

    Jul 27, 2026Luigi Russo, Deodato Tapete, Silvia Liberata Ullo +1Remote Sensing Change Detection

    Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy · Italian Space Agency (ASI), Via del Politecnico, 00133 Roma RM, Italia · Department of Engineering, University of Sannio, 82100 Benevento, Italy

  30. Learning Semantic-Robust Change Detection via Semantic-Invariant Self-Distillation

    Jul 21, 2026Jiuhe Qu, Yingping Liang, Ying FuDistribution Shift RobustnessRemote Sensing Change Detection

    Beijing Institute of Technology, Beijing, China