Remote Sensing Image Change Captioning

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HIMEC: Directional Change Representation and Fixed-Interface Decoding for Remote Sensing Image Change Captioning
Aug 12, 2026Aysha Ashraf, Shaina Ashraf, Wafaa I. M. Hussin +3Image Captioning Remote Sensing Image Change Captioning
University of Electronic Science and Technology of China · University of Bonn
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 Understanding Masked 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
LBTCap: A Lightweight Bilateral Transformer for Real-Time Remote Sensing Image Change Captioning
Jul 3, 2026Licheng Zhang, Siew-Kei Lam, Naveed AkhtarRemote Sensing Image Understanding Image Captioning
School of Computing and Information Systems, The University of Melbourne, Melbourne, 3010, Victoria, Australia · Nanyang Technological University, Singapore · The University of Melbourne, Melbourne, 3010, Victoria, Australia
JL1-CC&QA: Extending the JL1-CD Benchmark with Change Captioning and Question Answering
Jun 30, 2026Ziyuan Liu, Ruifei Zhu, Ouqiao Ma +1Remote Sensing Image Understanding Remote Sensing VQA
Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China · Chang Guang Satellite Technology Co., Ltd. (CGSTL) Changchun 130102, China · College of Communications Engineering, Army Engineering University of PLA, Nanjing 210007, China
RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning
Jun 26, 2026Yelin Wang, Zijia Song, Shuo Ye +6Remote Sensing Image Understanding VLM Adaptation
State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · Harbin Institute of Technology, Shenzhen, China · Great Bay University, Dongguan, China +1
DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning
Jun 25, 2026Yelin Wang, Zijia Song, Chuanguang Yang +4Remote Sensing Image Understanding Remote Sensing Image Change Captioning
ShanghaiTech University · National University of Defense Technology · Institute of Computing Technology, Chinese Academy of Sciences +1
HiSem: Hierarchical Semantic Disentangling for Remote Sensing Image Change Captioning
May 14, 2026Man Wang, Chenyang Liu, Wenjun Li +5Remote Sensing Image Understanding Image Captioning
College of Computer Science, Inner Mongolia University, Hohhot 010021, China · Research Center for Spatiotemporal Intelligence, Inner Mongolia University, Hohhot 010021, China · Department of Aerospace Intelligent Science and Technology, School of Astronautics, Beihang University, Beijing 100191, China +3
UAV as Urban Construction Change Monitor: A New Benchmark and Change Captioning Model
May 6, 2026Yupeng Gao, Tianyu Li, Guoqing Wang +1Remote Sensing Image Understanding Remote Sensing Image Change Captioning
University of Electronic Science and Technology of China, Chengdu, China
STAND: Semantic Anchoring Constraint with Dual-Granularity Disambiguation for Remote Sensing Image Change Captioning
Apr 25, 2026Yanpei Gong, Beichen Zhang, Hao Wang +5Remote Sensing Image Understanding Image Captioning
Harbin Institute of Technology, Weihai, China
A Multi-Agent Feedback System for Detecting and Describing News Events in Satellite Imagery
Apr 14, 2026Madeline Anderson, Mikhail Klassen, Ash Hoover +1Remote Sensing Image Change Captioning Remote Sensing Image Understanding
Massachusetts Institute of Technology · Planet Labs
Hierarchical Dual-Change Collaborative Learning for UAV Scene Change Captioning
Mar 13, 2026Fuhai Chen, Pengpeng Huang, Junwen Wu +4Remote Sensing Image Change Captioning
Fuzhou University, Fuzhou, China · Foshan Graduate School of Innovation, Northeastern University, Foshan, China · Shandong University, Jinan, China

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HIMEC: Directional Change Representation and Fixed-Interface Decoding for Remote Sensing Image Change Captioning

Aysha Ashraf, Shaina Ashraf, Wafaa I. M. Hussin, Ali Haider+2

University of Electronic Science and Technology of China · University of Bonn

Image Captioning Remote Sensing Image Change Captioning

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Remote sensing image change captioning (RSICC) converts bitemporal imagery into a sentence describing semantic changes. Most RSICC methods condition caption decoders directly on fused visual features, leaving intermediate change structure and decoder-interface consistency less studied. We present HIMEC, combining Directional Change Representation (DCR) with fixed-interface decoding. DCR separates signed differences into appearance-oriented, disappearance-oriented, and shared-context streams before fusion. A learned-query encoder converts the fused representation into visually conditioned change-query tokens that form the scene decoder's only sample-dependent memory. A training-only auxiliary phrase decoder supplies caption-derived supervision. With a fixed zero input, the scene decoder maintains the same interface during training and inference. Separately, we evaluate a local-to-scene cascade conditioned on teacher-forced local states during training and autoregressive states at inference. On changed LEVIR-CC validation pairs, these states have a mean cosine distance of 0.69. Regime-matched conditioning recovers most of the associated deficit, whereas permuting state correspondence causes no detectable penalty. These findings are limited to the evaluated cascade. In a matched three-seed comparison, HIMEC reaches a Consensus-based Image Description Evaluation (CIDEr) score of

142.81\pm0.60

on LEVIR-CC, versus

139.51\pm3.40

for direct fused-feature memory. On SECOND-CC, fixed-zero and regime-matched diagnostic conditioning reach 75.67 and 76.99 CIDEr, respectively, versus 60.77 for the mismatched cascade. The source code will be made publicly available at https://github.com/ayshaashra/HIMEC upon publication.