Remote Sensing Image Understanding

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14 papers in the last four weeks, up 56% on the four weeks before. 0.1% of all new papers.

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Latest papers 147

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3D LULC classification using multispectral LiDAR and deep learning: current and prospective schemes
May 21, 2026Narges Takhtkeshha, Aldino Rizaldy, Markus Hollaus +3Remote Sensing Image Understanding Point Cloud Classification
3D Optical Metrology (3DOM) Unit, Bruno Kessler Foundation (FBK), Trento, Italy · Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria · Helmholtz-ZentrumDresden-Rossendorf (HZDR), Helmholtz Institute Freiberg for Resource Technology (HIF), Freiberg, Germany +2
Vision Transformers and Convolutional Neural Networks for Land Use Scene Classification
May 20, 2026Arun D. KulkarniRemote Sensing Image Understanding Vision Transformer
Computer Science Department, University of Texas at Tyler, Tyler, TX 75799, USA
Principal Component Analysis for Lunar Crater Detection
May 16, 2026Travis Driver, John A. ChristianRemote Sensing Image Understanding Visual Navigation
Research Engineer II, School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332. · Associate Professor, School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332.
Uncertainty-Aware Wildfire Smoke Density Classification from Satellite Imagery via CBAM-Augmented EfficientNet with Evidential Deep Learning
May 15, 2026Ranjith ChodavarapuRemote Sensing Image Understanding Evidential Deep Learning
Kent State University
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
GeoVista: Visually Grounded Active Perception for Vision-Language Understanding of Ultra-High-Resolution Remote Sensing Images
May 14, 2026Jiashun Zhu, Ronghao Fu, Jiasen Hu +3Remote Sensing Image Understanding Remote Sensing VQA
College of Computer Science and Technology, Jilin University, Changchun 130021, China · Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Changchun 130021, China · Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100000, China +1
RS-Claw: Progressive Active Tool Exploration via Hierarchical Skill Trees for Remote Sensing Agents
May 13, 2026Liangtian Liu, Zeyuan Wang, Ziyu Li +8Remote Sensing Image Understanding Tool-Using Agents
School of Geosciences and Info-Physics, Central South University, Changsha 410083, China · School of Resources and Environment, University of Electronic Science and Technology of China, Xian 710071, China · School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China +1
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs
May 12, 2026Shuo Ni, Tong Wang, Jing Zhang +5VLM Evaluation Remote Sensing Image Understanding
National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China · Zhongguancun Academy, Beijing, China · School of Computer Science, Wuhan University, Wuhan, China +2
GeoR-Bench: Evaluating Geoscience Visual Reasoning
May 12, 2026Yushuo Zheng, Zicheng Zhang, Huiyu Duan +7Remote Sensing Image Understanding Geospatial Reasoning
Shanghai Jiao Tong University · Beijing University of Technology
Towards a Large Language-Vision Question Answering Model for MSTAR Automatic Target Recognition
May 11, 2026David F. Ramirez, Tim L. Overman, Kristen Jaskie +2Remote Sensing Image Understanding Remote Sensing VQA
SenSIP Center, School of ECEE, Arizona State University, Tempe, Arizona · Prime Solutions Group, Goodyear, Arizona
MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation
May 11, 2026Ziyi Wang, Xianping Ma, Ziyao Wang +2Remote Sensing Image Understanding Image Segmentation
The Chinese University of Hong Kong (Shenzhen) · Southwest Jiaotong University
Geospatial-Temporal Sensemaking of Remote Sensing Activity Detections with Multimodal Large Language Model
May 11, 2026David F. Ramirez, Tim Overman, Kristen Jaskie +1Remote Sensing Image Understanding Visual Question Answering
SenSIP Center, School of ECEE, Arizona State University, Tempe, Arizona, USA · Prime Solutions Group Inc, Goodyear, Arizona, USA
Developing a foundation model for high-resolution remote sensing data of the Netherlands
May 11, 2026Paul Vermeeren, Heysem KayaRemote Sensing Image Understanding Geospatial Foundation Models
Department of Information and Computer Sciences, Utrecht Univ., the Netherlands
Active-SAOOD: Active Sparsely Annotated Oriented Object Detection in Remote Sensing Images
May 11, 2026Yu Lin, Jianghang Lin, Kai Ye +2Remote Sensing Image Understanding Active Learning
Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, 361005, P.R. China.
Spatial-Frequency Gated Swin Transformer for Remote Sensing Single-Image Super-Resolution
May 10, 2026Md Aminur Hossain, Parekh Valkesh, Ayush V. Patel +3Remote Sensing Image Understanding Vision Transformer
Space Applications Centre, ISRO, Ahmedabad, India · New L J Institute of Engineering and Technology, Ahmedabad, India · Pandit Deendayal Energy University, Gandhinagar, India +2
Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models
May 8, 2026Dongdong Wang, Deepak Balakrishnan, Ravi Srinivasan +1Remote Sensing Image Understanding Large Vision-Language Models
Department of Urban and Regional Planning, University of Florida · M.E. Rinker, Sr. School of Construction Management, University of Florida
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation
May 8, 2026Jun Wang, Fengpeng Li, Hang Dong +2Remote Sensing Image Understanding Large Vision-Language Models
School of Computer Science, China University of Geosciences · PRADA Lab, King Abdullah University of Science and Technology · Department of Computer Science, University of Exeter
One Adapter, Every Resolution: Gated Low-Rank Adaptation for Remote Sensing VLMs
May 8, 2026Song Zhang, Yanlong Chen, Yining Chen +2Remote Sensing Image Understanding Remote Sensing VQA
Nanjing University · ETH Zurich · Nanjing University of Posts and Telecommunications
SatSurfGS: Generalizable 2D Gaussian Splatting for Sparse-View Satellite Surface Reconstruction
May 8, 2026Min Chen, Wei Guo, Bin Wang +9Remote Sensing Image Understanding Multi-View Learning
Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, P.R. China · School of Geography and Environment, Jiangxi Normal University · College of Geodesy and Geomatics, Shandong University of Science and Technology
DPG-CD: Depth-Prior-Guided Cross-Modal Joint 2D-3D Change Detection
May 8, 2026Luqi Zhang, Zhen Dong, Bisheng YangRemote Sensing Image Understanding Remote Sensing Change Detection
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, No.129, Luoyu Road, Wuhan, Hubei, 430079, China
A Novel Graph-Regulated Disentangling Mamba Model with Sparse Tokens for Enhanced Tree Species Classification from MODIS Time Series
May 7, 2026Motasem Alkayid, Zhengsen Xu, Saeid Taleghanidoozdoozan +7Remote Sensing Image Understanding Mamba
Department of Geomatics Engineering, University of Calgary, Canada
Open-SAT: LLM-Guided Query Embedding Refinement for Open-Vocabulary Object Retrieval in Satellite Imagery
May 6, 2026Md Adnan Arefeen, Biplob Debnath, Ravi K. Rajendran +2Remote Sensing Image Understanding Image-Text Retrieval
NEC Laboratories America Princeton, NJ, USA
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
deSEO: Physics-Aware Dataset Creation for High-Resolution Satellite Image Shadow Removal
May 5, 2026Lorenzo Beltrame, Jules Salzinger, Filip Svoboda +4Remote Sensing Image Understanding Shadow Removal
Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, Austria · Technical University of Munich (TUM), TUM School of Engineering and Design, Chair of Remote Sensing Technology, Arcisstr. 21, 80333 Munich, Germany · University of Cambridge, William Gates Building, 15 JJ Thomson Ave., CB3 0FD Cambridge, UK +3
Sentinel2Cap: A Human-Annotated Benchmark Dataset for Multimodal Remote Sensing Image Captioning
May 4, 2026Lucrezia Tosato, Gianluca Lombardi, Ronny HanschRemote Sensing Image Understanding Image Captioning
LIPADE, Université Paris Cité, 75006 Paris, France. · SAPIA, ONERA, Palaiseau, France. · LCQB, Sorbonne Université, CNRS, IBPS, 75005 Paris, France. +1
Rethinking Electro-Optical Vision Foundation Models for Remote Sensing Retrieval: A Controlled Comparison with Generalist VFM
May 4, 2026Hyobin Park, Minseok Seo, Dong-Geol ChoiRemote Sensing Image Understanding Vision Foundation Models
ANTLAB · Korea Advanced Institute of Science and Technology (KAIST) · South Korea +1
Representative Spectral Correlation Network for Multi-source Remote Sensing Image Classification
Apr 30, 2026Chuanzheng Gong, Feng Gao, Junyan Lin +2Remote Sensing Image Understanding Feature Selection
State Key Laboratory of Physical Oceanography, Ocean University of China, Qingdao 266100, China · Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China · Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS 39762 USA
AirZoo: A Unified Large-Scale Dataset for Grounding Aerial Geometric 3D Vision
Apr 29, 2026Xiaoya Cheng, Rouwan Wu, Xinyi Liu +6Remote Sensing Image Understanding Multi-View Geometry
National University of Defense Technology, Changsha, China · National Key Laboratory of Advanced Guidance and Control Technology, Changsha, China · Singapore University of Technology and Design, Singapore
SARU: A Shadow-Aware and Removal Unified Framework for Remote Sensing Images with New Benchmarks
Apr 28, 2026Zi-Yang Bo, Wei Lu, Hongruixuan Chen +2Remote Sensing Image Understanding Shadow Removal
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
Towards Seamless Lunar Mosaics: Deep Radiometric Normalization for Cross-Sensor Orbital Imagery Using Chandrayaan-2 TMC Data
Apr 28, 2026Pratincha Singh, Jai Gopal Singla, Prashant Hemrajani +3Remote Sensing Image Understanding Remote Sensing
Department of IOT and Intelligent Systems Manipal University Jaipur Jaipur,India · Space Applications Centre Indian Space Research Organization Ahmedabad,India

May 21, 2026, cs.CVJ/K move · Enter open · S save

3D LULC classification using multispectral LiDAR and deep learning: current and prospective schemes

Narges Takhtkeshha, Aldino Rizaldy, Markus Hollaus, Juha Hyyppä+2

3D Optical Metrology (3DOM) Unit, Bruno Kessler Foundation (FBK), Trento, Italy · Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria · Helmholtz-ZentrumDresden-Rossendorf (HZDR), Helmholtz Institute Freiberg for Resource Technology (HIF), Freiberg, Germany+2

Remote Sensing Image Understanding Point Cloud Classification Land Cover Classification 3D Semantic Segmentation Remote Sensing

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Land Use Land Cover (LULC) classification is essential for national 3D mapping, geospatial analysis, and sustainable planning. Multispectral (MS) LiDAR provides synchronized spatial-spectral information, and deep learning (DL) enables 3D point cloud semantic segmentation; however, adoption is limited by the lack of publicly available urban and suburban MS LiDAR datasets aligned with National Mapping and Cadastral Agencies (NMCAs) classification schemes. This study addresses these gaps by introducing L1 and L2 NMCA-aligned LULC classification schemes and a new benchmark MS LiDAR dataset. We evaluate seven state-of-the-art DL models and perform spectral ablation studies at both levels of detail. Results show that Point Transformer V3 achieves the best performance, with mIoU of 79.4% (L1, 8 classes) and 58.9% (L2, 20 classes) using a dual-wavelength LiDAR system (532 nm and 1064 nm). Ablation results show that multispectral information improves performance over geometry-only inputs, with gains of 1.1 percentage points at L1 and 7.8 points at L2. These results highlight the value of LiDAR reflectance for fine-grained material discrimination and support the evolution of NMCA LULC schemes toward higher semantic detail. The Loosdorf-MSL dataset contributes a new benchmark for consistent national and international LULC mapping.

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