多模态信息融合

PolSAM: Polarimetric Scattering Mechanism Informed Segment Anything Model

Yuqing Wang, Zhongling Huang, Shuxin Yang, Hao Tang, Xiaolan Qiu, Junwei Han, Dingwen Zhang

机构 * the BRain and Artificial INtelligence Lab (BRAIN LAB), School of Automation, Northwestern Polytechnical University（人工智能实验室（BRAIN LAB）、自动化学院、西北工业大学） ； the Shenzhen Research Institute of Northwestern Polytechnical University（西北工业大学深圳研究院） ； the National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University（多媒体信息处理国家重点实验室、计算机科学学院、北京大学） ； the National Key Laboratory of Microwave Imaging Technology, Chinese Academy of Sciences（微波成像技术国家重点实验室、中国科学院） ； the Aerospace Information Research Institute, Chinese Academy of Sciences（航空信息研究所、中国科学院） 纠错

专题命中 遥感融合与全色锐化 ：multimodal fusion(abstract)；feature-level fusion(abstract)；分类 cs.CV

Comments The manuscript is 15 pages long, includes 13 figures and 5 tables

Sensor-Adaptive Flood Mapping with Pre-trained Multi-Modal Transformers across SAR and Multispectral Modalities

Tomohiro Tanaka, Narumasa Tsutsumida

机构 * Graduate school of Science & Engineering, Saitama University, Japan（埼玉大学理工学部） 纠错

专题命中 遥感融合与全色锐化 ：sensor fusion(abstract)；multi-sensor fusion(abstract)；分类 cs.CV

Comments 8 pages, 2 figures

Multimodal Transformer Using Cross-Channel attention for Object Detection in Remote Sensing Images

Bissmella Bahaduri, Zuheng Ming, Fangchen Feng, Anissa Mokraou

专题命中 遥感融合与全色锐化 ：multimodal fusion(abstract)；multi-modal fusion(abstract)；分类 cs.CV

Comments Accepted by ICIP2024

Guided Image Restoration via Simultaneous Feature and Image Guided Fusion

Xinyi Liu, Qian Zhao, Jie Liang, Hui Zeng, Deyu Meng, Lei Zhang

专题命中 遥感融合与全色锐化 ：pan-sharpening(abstract)；feature-level fusion(abstract)；分类 cs.CV

Recurrent Multiresolution Convolutional Networks for VHR Image Classification

John Ray Bergado, Claudio Persello, Alfred Stein

专题命中 遥感融合与全色锐化 ：image fusion(abstract)；pansharpening(abstract)；分类 cs.CV

MRFusion: A Deep Learning architecture to fuse PAN and MS imagery for land cover mapping

Raffaele Gaetano, Dino Ienco, Kenji Ose, Remi Cresson

专题命中 遥感融合与全色锐化 ：image fusion(abstract)；pansharpening(abstract)；分类 cs.CV

OceanBench: The Sea Surface Height Edition

J. Emmanuel Johnson, Quentin Febvre, Anastasia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet

专题命中 遥感融合与全色锐化 ：sensor fusion(abstract)；multi-sensor fusion(abstract)

Comments J. Emmanuel Johnson and Quentin Febvre contributed equally to this work

A 33-year NPP monitoring study in southwest China by the fusion of multi-source remote sensing and station data

Xiaobin Guan, Huanfeng Shen, Wenxia Gan, Gang Yang, Lunche Wang, Xinghua Li, Liangpei Zhang

专题命中 遥感融合与全色锐化 ：sensor fusion(abstract)；multi-sensor fusion(abstract)

Comments 20 pages, 11 figures

An iterative energy-based multimodal transformer for joint retrieval of wheat soil moisture, leaf area index, and plant height from Sentinel-1 and Sentinel-2 time series

基于迭代能量多模态Transformer的Sentinel-1与Sentinel-2时序联合反演小麦土壤水分、叶面积指数和株高

Shubham Kumar Singh, Peilei Fan, Suraj A. Yadav, Rajendra Prasad, Prashant K Srivastava

机构 * Department of Urban and Environmental Policy and Program, Tufts University（Tufts大学城市与环境政策与项目系） ； Electrical and Computer Engineering Department, Mississippi State University（密苏里州立大学电气与计算机工程系） ； Department of Physics, Indian Institute of Technology (BHU)（印度理工学院（BHU）物理系） ； Institute of Environment and Sustainable Development, Banaras Hindu University（巴纳尔斯赫尔大学环境与可持续发展研究所） 纠错

专题命中 遥感融合与全色锐化 ：multimodal fusion(abstract)；分类 cs.CV、eess.IV

AI总结 提出迭代能量Transformer（iEBT），通过嵌入多模态预测器并迭代更新目标向量，从Sentinel-1和Sentinel-2时序数据中联合反演土壤水分、叶面积指数和株高，在印度瓦拉纳西实测数据上取得高精度，并利用终端能量作为质量诊断指标。

Comparative analysis of dual-form networks for live land monitoring using multi-modal satellite image time series

多模态卫星图像时间序列用于实时土地监测的双形式网络比较分析

Iris Dumeur, Jérémy Anger, Gabriele Facciolo

机构 * 1 Kayrros SAS 2 Universit\'e Paris-Saclay, ENS Paris-Saclay, CNRS, Centre Borelli, 91190, Gif-sur-Yvette, France 3 Institut Universitaire de France 纠错

专题命中 遥感融合与全色锐化 ：sensor fusion(abstract)；分类 cs.CV、eess.IV

AI总结 本文研究了双形式注意力机制以提升多模态SITS分析效率，通过并行训练支持递归推理，针对时间不规则性和不一致性的挑战，提出基于实际获取日期计算token距离的方法，实验表明双形式机制在性能和效率上优于标准Transformer。

OSDM-MReg: Multimodal Image Registration based One Step Diffusion Model

OSDM-MReg: 基于一步扩散模型的多模态图像配准

Xiaochen Wei, Weiwei Guo, Wenxian Yu, Feiming Wei, Dongying Li

机构 * Shanghai Key Laboratory of Intelligent Sensing and Recognition（上海智能感知与识别重点实验室） ； Shanghai Jiao Tong University（上海交通大学） ； Center of Digital Innovation（数字创新中心） 纠错

专题命中 遥感融合与全色锐化 ：multimodal fusion(abstract)；分类 cs.CV、eess.IV

AI总结 OSDM-MReg通过一步扩散模型和多模态融合策略，实现多模态图像配准的高效准确配准。

DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion Models

DiffFuSR：利用扩散模型实现所有Sentinel-2多光谱波段的超分辨率处理

Muhammad Sarmad, Arnt-Børre Salberg, Michael Kampffmeyer

机构 * Norwegian Computing Center（挪威计算中心） ； Department of Physics and Technology, UiT The Arctic University of Norway（物理与技术系，UiT 北极大学） 纠错

专题命中 遥感融合与全色锐化 ：pansharpening(abstract)；分类 cs.CV、eess.IV

AI总结 DiffFuSR通过扩散模型和融合策略实现Sentinel-2多光谱波段的超分辨率处理，提升反射率保真度和光谱一致性。

Comments Accepted for Publication at IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (TGRS)

GDROS: A Geometry-Guided Dense Registration Framework for Optical-SAR Images under Large Geometric Transformations

Zixuan Sun, Shuaifeng Zhi, Ruize Li, Jingyuan Xia, Yongxiang Liu, Weidong Jiang

机构 * College of Electronic Science and Technology, National University of Defense Technology（电子科学与技术学院，国防科技大学） 纠错

专题命中 遥感融合与全色锐化 ：image fusion(abstract)；分类 cs.CV、eess.IV

Comments To be published in IEEE Transactions on Geoscience and Remote Sensing (T-GRS) 2025

Event-RGB Fusion for Spacecraft Pose Estimation Under Harsh Lighting

Mohsi Jawaid, Marcus Märtens, Tat-Jun Chin

机构 * AI for Space Group（空间人工智能小组） ； The University of Adelaide（阿德莱德大学） 纠错

专题命中 遥感融合与全色锐化 ：sensor fusion(abstract)；分类 cs.CV、cs.RO

Comments Associated dataset: https://zenodo.org/records/15861758

Journal ref Aerospace Science and Technology, Volume 168, Part E, January 2026, 111039

PAD: Phase-Amplitude Decoupling Fusion for Multi-Modal Land Cover Classification

Huiling Zheng, Xian Zhong, Bin Liu, Yi Xiao, Bihan Wen, Xiaofeng Li

机构 * Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya 572025, China（武汉理工大学三亚科学教育创新园） ； School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China（武汉理工大学计算机科学与人工智能学院） ； Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China（中国科学院海洋循环与波浪重点实验室） ； Hubei Key Laboratory of Transportation Internet of Things, School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China（湖北省交通物联网重点实验室） ； State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan 430063, China（武汉理工大学航海技术与安全国家重点实验室） ； College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China（上海海洋大学海洋科学与生态学院） ； School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China（郑州大学计算机与人工智能学院） ； Rapid-Rich Object Search Lab, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798（南洋理工大学电子与电气工程学院） 纠错

专题命中 遥感融合与全色锐化 ：multi-modal fusion(abstract)；分类 cs.CV、eess.IV

Comments 14 pages, 8 figures

Robust Recursive Fusion of Multiresolution Multispectral Images with Location-Aware Neural Networks

Haoqing Li, Ricardo Borsoi, Tales Imbiriba, Pau Closas

专题命中 遥感融合与全色锐化 ：image fusion(abstract)；分类 eess.IV、eess.SP

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution

Ivan Pereira-Sánchez, Julia Navarro, Ana Belén Petro, Joan Duran

机构 * Institute of Applied Computing and Community Code (IAC3)（应用计算与社区代码研究所） ； Dept. of Mathematics and Computer Science, Universitat de les Illes Balears（数学与计算机科学系，巴利阿里大学） 纠错

专题命中 遥感融合与全色锐化 ：image fusion(abstract)；分类 cs.CV、eess.IV

Robust Hyperspectral Image Panshapring via Sparse Spatial-Spectral Representation

Chia-Ming Lee, Yu-Fan Lin, Li-Wei Kang, Chih-Chung Hsu

专题命中 遥感融合与全色锐化 ：pansharpening(abstract)；分类 cs.CV、eess.IV

Comments Submitted to IGARSS 2025

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification

Zhu Han, Jin Yang, Lianru Gao, Zhiqiang Zeng, Bing Zhang, Jocelyn Chanussot

专题命中 遥感融合与全色锐化 ：information fusion(abstract)；分类 cs.CV、eess.IV

Perspective-Equivariance for Unsupervised Imaging with Camera Geometry

Andrew Wang, Mike Davies

专题命中 遥感融合与全色锐化 ：pansharpening(abstract)；分类 cs.CV、eess.IV

Comments ECCV camera-ready

Unsupervised Hyperspectral and Multispectral Image Blind Fusion Based on Deep Tucker Decomposition Network with Spatial-Spectral Manifold Learning

He Wang, Yang Xu, Zebin Wu, Zhihui Wei

专题命中 遥感融合与全色锐化 ：image fusion(abstract)；分类 cs.CV、eess.IV

Comments Accepted by TNNLS 2024 Some errors has been corrected

An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images

Menghui Jiang, Huanfeng Shen, Jie Li, Liangpei Zhang

专题命中 遥感融合与全色锐化 ：image fusion(abstract)；分类 cs.CV、eess.IV

Journal ref IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022

Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion

Huanfeng Shen, Menghui Jiang, Jie Li, Chenxia Zhou, Qiangqiang Yuan, Liangpei Zhang

专题命中 遥感融合与全色锐化 ：image fusion(abstract)；分类 cs.CV、eess.IV

Journal ref IEEE Geoscience and Remote Sensing Magazine, vol. 10, no. 2, pp. 231-249, June 2022

Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 images

Tomasz Tarasiewicz, Jakub Nalepa, Reuben A. Farrugia, Gianluca Valentino, Mang Chen, Johann A. Briffa, Michal Kawulok

专题命中 遥感融合与全色锐化 ：information fusion(abstract)；分类 cs.CV、eess.IV

Comments Submitted to IEEE Transactions On Geoscience And Remote Sensing

High Spectral Spatial Resolution Synthetic HyperSpectral Dataset form multi-source fusion

Yajie Sun, Ali Zia, Jun Zhou

专题命中 遥感融合与全色锐化 ：multi-modal fusion(abstract)；分类 cs.CV、eess.IV

Comments IJCNN workshop on Multimodal Synthetic Data for Deep Neural Networks (MSynD), 2023

Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency

Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen

专题命中 遥感融合与全色锐化 ：image fusion(abstract)；分类 cs.CV、eess.IV

Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring

Manu Tom, Yuchang Jiang, Emmanuel Baltsavias, Konrad Schindler

专题命中 遥感融合与全色锐化 ：sensor fusion(abstract)；分类 cs.CV、eess.IV

Journal ref IEEE Transactions on Geoscience and Remote Sensing 2022

Subspace-Based Feature Fusion From Hyperspectral And Multispectral Image For Land Cover Classification

Juan Ramírez, Héctor Vargas, José Ignacio Martínez, Henry Arguello

专题命中 遥感融合与全色锐化 ：image fusion(abstract)；分类 cs.CV、eess.IV

Comments 4 pages, 2 figures, 1 table, and 2 algorithms. Submitted to the International Geoscience and Remote Sensing Symposium (2021)

Memory-augmented Deep Unfolding Network for Guided Image Super-resolution

Man Zhou, Keyu Yan, Jinshan Pan, Wenqi Ren, Qi Xie, Xiangyong Cao

专题命中 遥感融合与全色锐化 ：pan-sharpening(abstract)；分类 cs.CV、eess.IV

Comments 24 pages, 16 figures

A Triple-Double Convolutional Neural Network for Panchromatic Sharpening

Tian-Jing Zhang, Liang-Jian Deng, Ting-Zhu Huang, Jocelyn Chanussot, Gemine Vivone

专题命中 遥感融合与全色锐化 ：pansharpening(abstract)；分类 cs.CV、eess.IV