Remote Sensing Image Segmentation

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Remote sensing image segmentation assigns classes or object boundaries to pixels in satellite and aerial images, supporting tasks such as land-cover mapping, flood and wildfire monitoring, and building or road extraction. Common approaches include U-Net-style convolutional networks, transformers and state-space models, and fusion of optical, SAR, elevation, or time-series data; newer work also adapts geospatial foundation and vision-language models. Benchmarks such as ISPRS Vaihingen and Potsdam, LoveDA, OpenEarthMap, and Sen1Floods11 test accuracy across varied sensors, regions, and applications. A central challenge is reliable transfer under geographic, seasonal, and sensor shifts, while preserving fine boundaries and balancing annotation needs, computational cost, and performance on rare classes.

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220 papers21 papers in the last four weeks, up 17% on the four weeks before. 0.1% of all new papers.

A generalised pre-training strategy for deep learning networks in semantic segmentation of remotely sensed images
Apr 30, 2026Yuan Fang, Yuanzhi Cai, Jagannath Aryal +4Remote Sensing Image Segmentation Domain Generalization
Department of Civil Engineering, Xi’an Jiaotong-Liverpool University, Suzhou 215000, China · CSIRO Mineral Resources, Kensington, WA 6151, Australia · Department of Infrastructure Engineering, The University of Melbourne, Melbourne VIC 3010, Australia
Towards Generalizable Mapping of Hedges and Linear Woody Features from Earth Observation Data: a national Product for Germany
Apr 29, 2026Thorsten Hoeser, Verena Huber-Garcia, Sarah Asam +2Remote Sensing Image Segmentation Agricultural Remote Sensing
Earth Observation Center (EOC), German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Germany · Institute for Geography and Geology, University of Wuerzburg, 97074 Wuerzburg, Germany
HQ-UNet: A Hybrid Quantum-Classical U-Net with a Quantum Bottleneck for Remote Sensing Image Segmentation
Apr 29, 2026Md Aminur Hossain, Ayush V. Patel, Ikshwaku Vanani +1Remote Sensing Image Segmentation Hybrid Quantum-Classical ML
Space Applications Centre, Indian Space Research Organisation (ISRO), India · New-Brunswick Honors College, Rutgers University, New Jersey · Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay
Cross-Domain Transfer of Hyperspectral Foundation Models
Apr 29, 2026Nick Theisen, Peer NeubertRemote Sensing Image Segmentation Hyperspectral Imaging
Intelligent Autonomous Systems, University of Koblenz, Germany
Seeking Consensus: Geometric-Semantic On-the-Fly Recalibration for Open-Vocabulary Remote Sensing Semantic Segmentation
Apr 29, 2026Guanchun Wang, Chenxiao Wu, Xiangrong Zhang +4Remote Sensing Image Segmentation Test-Time Adaptation
School of Artificial Intelligence, Xidian University · MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University
Open-Vocabulary Semantic Segmentation Network Integrating Object-Level Label and Scene-Level Semantic Features for Multimodal Remote Sensing Images
Apr 27, 2026Jinkun Dai, Yuanxin Ye, Peng Tang +4Remote Sensing Image Segmentation Text-Guided Image Segmentation
Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China · State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu 611756, China · School of Artificial Intelligence, Wuhan University, Wuhan 430072, China +1
From Noisy Historical Maps to Time-Series Oil Palm Mapping Without Annotation in Malaysia and Indonesia (2020-2024)
Apr 26, 2026Nuttaset Kuapanich, Juepeng Zheng, Bohan Shi +6Remote Sensing Image Segmentation Agricultural Remote Sensing
School of Artificial Intelligence, Sun Yat-Sen University, Zhuhai, China. · National Supercomputing Center in Shenzhen, Shenzhen, China. · Khoury College of Computer Sciences, Northeastern University, Boston, United States of America. +1
Urban Flood Observations: A hand-labeled training and validation dataset of post-flood inundation
Apr 24, 2026Rohit Mukherjee, Hannah K. Friedrich, Beth Tellman +5Remote Sensing Image Segmentation Flood Inundation Mapping
1Pacific Northwest National Laboratory, Richland, WA, USA · University of Arizona, Tucson, USA · University of Wisconsin–Madison, Madison, WI, USA +4
Structure-Semantic Decoupled Modulation of Global Geospatial Embeddings for High-Resolution Remote Sensing Mapping
Apr 21, 2026Jienan Lyu, Miao Yang, Jinchen Cai +4Remote Sensing Image Segmentation Geospatial Foundation Models
Sun Yat-Sen University · Tsinghua University
A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation
Apr 20, 2026Nichula Wasalathilaka, Dineth Perera, Oshadha Samarakoon +4Remote Sensing Image Segmentation Domain Generalization
University of Peradeniya Peradeniya, Sri Lanka
A Benchmark Study of Segmentation Models and Adaptation Strategies for Landslide Detection from Satellite Imagery
Apr 17, 2026Md Kowsher, Weiwei Zhan, Chen ChenRemote Sensing Image Segmentation Vision Foundation Model Adaptation
University of Central Florida
Robust Multispectral Semantic Segmentation under Missing or Full Modalities via Structured Latent Projection
Apr 17, 2026Irem Ulku, Erdem Akagündüz, Ömer Özgür TanrıöverMissing-Modality Learning Remote Sensing Image Segmentation
Department of Computer Engineering, Ankara University, Ankara, Türkiye · Department of Modeling and Simulation, Graduate School of Informatics, METU, Ankara, Türkiye
PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation
Apr 17, 2026Shuyan Ke, Yifan Mei, Changli Wu +4Image Segmentation Remote Sensing Image Segmentation
Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, 361005, P.R. China · Shanghai Innovation Institute
Perturbation-Regularized Open-Vocabulary Remote Sensing Segmentation with Unified Multi-Domain Evaluation
Apr 17, 2026Bingyu Li, Tao Huo, Haocheng Dong +4Image Segmentation Remote Sensing Image Segmentation
Department of Electronic Engineering and Information Science, University of Science and Technology of China, China · Institute of Artificial Intelligence (TeleAI), China Telecom, P. R. China · School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, China
Building Extraction from Remote Sensing Imagery under Hazy and Low-light Conditions: Benchmark and Baseline
Apr 16, 2026Feifei Sang, Wei Lu, Hongruixuan Chen +2Remote Sensing Image Segmentation Building Footprint Extraction
MOE Key Lab of ICSP, Anhui Provincial Key Lab of Multimodal Cognitive Computation, IMIS Lab of Anhui Province, School of Computer Science and Technology, Anhui University, Hefei, China · Graduate School of Frontier Sciences, The University of Tokyo, Chiba, 277-8561, Japan
WILD-SAM: Phase-Aware Expert Adaptation of SAM for Landslide Detection in Wrapped InSAR Interferograms
Apr 16, 2026Yucheng Pan, Heping Li, Zhangle Liu +2Remote Sensing Image Segmentation Vision Foundation Model Adaptation
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China · Hubei Luojia Laboratory, Wuhan 430079, China
Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Models
Apr 15, 2026Xiaohe Li, Jiahao Li, Kaixin Zhang +5Remote Sensing Change Detection Remote Sensing VQA
Beijing, China Aerospace Information Research Institute, CAS · Beijing, China Space Engineering University · Beijing, China Capital Normal University
GTPBD-MM: A Global Terraced Parcel and Boundary Dataset with Multi-Modality
Apr 14, 2026Zhiwei Zhang, Xingyuan Zeng, Xinkai Kong +7Multi-Angular Remote Sensing Agricultural Remote Sensing
Sun Yat-sen University · Northeastern University · National Supercomputing Center in Shenzhen +3
SatReg: Regression-based Neural Architecture Search for Lightweight Satellite Image Segmentation
Apr 11, 2026Edward Humes, Tinoosh MohseninHardware-Aware NAS Neural Architecture Search
Johns Hopkins University, Baltimore, Maryland, USA
Dynamic Class-Aware Active Learning for Unbiased Satellite Image Segmentation
Apr 10, 2026Gadi Hemanth Kumar, Athira Nambiar, Pankaj BodaniActive Learning Remote Sensing Image Segmentation
Department of Computational Intelligence, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur 603203, Tamil Nadu, India · Space Applications Centre, Indian Space Research Organisation, Ahmedabad, India
Low-Data Supervised Adaptation Outperforms Prompting for Cloud Segmentation Under Domain Shift
Apr 10, 2026Harshith Kethavath, Weiming HuVLM Adaptation Remote Sensing VLMs
University of Georgia, USA
OceanMAE: A Foundation Model for Ocean Remote Sensing
Apr 9, 2026Viola-Joanna Stamer, Panagiotis Agrafiotis, Behnood Rasti +1Remote Sensing Self-Supervised Visual Representation Learning
Faculty of Electrical Engineering and Computer Science, Technische Universität Berlin, Germany and with the Berlin Institute for the Foundations of Learning and Data (BIFOLD), 10623 Berlin, Germany.
CloudMamba: An Uncertainty-Guided Dual-Scale Mamba Network for Cloud Detection in Remote Sensing Imagery
Apr 8, 2026Jiajun Yang, Keyan Chen, Zhengxia Zou +1Remote Sensing Image Segmentation Remote Sensing
Department of Aerospace Intelligent Science and Technology, School of Astronautics, Beihang University, Beijing 100191, China · Key Laboratory of Spacecraft Design Optimization and Dynamic Simulation Technologies, Ministry of Education, Beihang University, Beijing 100191, China
HQF-Net: A Hybrid Quantum-Classical Multi-Scale Fusion Network for Remote Sensing Image Segmentation
Apr 8, 2026Md Aminur Hossain, Ayush V. Patel, Siddhant Gole +2Remote Sensing Image Segmentation Multi-Scale Feature Fusion
Space Applications Centre, ISRO, India · Indian Institute of Technology Bombay
ProtoFlow: Mitigating Forgetting in Class-Incremental Remote Sensing Segmentation via Low-Curvature Prototype Flow
Apr 3, 2026Jiekai Wu, Rong Fu, Chuangqi Li +9Class-Incremental Learning Image Segmentation
Independent Researcher · The Institute of Collaborative Innovation, University of Macau, Macau 999078, China · Department of Information and Computing Sciences, Faculty of Science, Utrecht University, Utrecht 3584 CC, Netherlands +9
Decouple and Rectify: Semantics-Preserving Structural Enhancement for Open-Vocabulary Remote Sensing Segmentation
Apr 2, 2026Jie Feng, Fengze Li, Junpeng Zhang +4Remote Sensing Image Segmentation Open-Vocabulary Semantic Segmentation
Xidian University China · Jimei University China · South China University of Technology China
Prototype-Based Low Altitude UAV Semantic Segmentation
Apr 2, 2026Da Zhang, Gao Junyu, Zhao ZhiyuanEfficient Semantic Segmentation Semantic Segmentation
School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University · Institute of Artificial Intelligence (TeleAI), China Telecom
PC-SAM: Patch-Constrained Fine-Grained Interactive Road Segmentation in High-Resolution Remote Sensing Images
Apr 1, 2026Chengcheng Lv, Rushi Li, Mincheng Wu +3Remote Sensing Image Segmentation Promptable Image Segmentation
Zhejiang University of Technology, Hangzhou, China · Zhejiang University, Hangzhou, China
ConInfer: Context-Aware Inference for Training-Free Open-Vocabulary Remote Sensing Segmentation
Mar 31, 2026Wenyang Chen, Zhanxuan Hu, Yaping Zhang +2Image Segmentation Remote Sensing Image Segmentation
Yunnan Normal University · Xi’an University of Posts & Telecommunications
Transferring Physical Priors into Remote Sensing Segmentation via Large Language Models
Mar 29, 2026Yuxi Lu, Kunqi Li, Zhidong Li +4Multi-Angular Remote Sensing Remote Sensing Image Segmentation
University of Technology Sydney, New South Wales, Australia

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A generalised pre-training strategy for deep learning networks in semantic segmentation of remotely sensed images

Yuan Fang, Yuanzhi Cai, Jagannath Aryal, Qinfeng Zhu+3

Department of Civil Engineering, Xi’an Jiaotong-Liverpool University, Suzhou 215000, China · CSIRO Mineral Resources, Kensington, WA 6151, Australia · Department of Infrastructure Engineering, The University of Melbourne, Melbourne VIC 3010, Australia

Remote Sensing Image Segmentation Domain Generalization Remote Sensing

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In the segmentation of remotely sensed images, deep learning models are typically pre-trained using large image databases like ImageNet before fine-tuned on domain-specific datasets. However, the performance of these fine-tuned models is often hindered by the large domain gaps (i.e., differences in scenes and modalities) between ImageNet's images and remotely sensed images being processed. Therefore, many researchers have undertaken efforts to establish large-scale domain-specific image datasets for pre-training, aiming to enhance model performance. However, establishing such datasets is often challenging, requiring significant effort, and these datasets often exhibit limited generaliza-bility to other application scenarios. To address these issues, this study introduces a novel yet simple pre-training strategy designed to guide a model away from learning domain-specific features in a pre-training dataset during pre-training, thereby improving the generalisation ability of the pre-trained model. To evaluate the strategy's effectiveness, deep learning models are pre-trained on ImageNet and subsequently fine-tuned on four semantic segmentation datasets with diverse scenes and modalities, including iSAID, MFNet, PST900 and Potsdam. Experimental results show that the proposed pre-training strategy led to state-of-the-art accuracies on all four datasets, namely 67.4% mIoU for iSAID, 56.9% mIoU for MFNet, 84.22% mIoU for PST900, 91.88% mF1 for Potsdam. This research lays the groundwork for developing a unified foundation model applicable to both computer vision and remote sensing applications.