多模态信息融合

Dual Modality Prompted Diffusion Priors for Zero Shot Hyperspectral Pansharpening

用于零样本高光谱 pansharpening 的双模态提示扩散先验

Pengwei Xie, Fei Zhu, Jiajun Li, Xiangyuan Liu, Xiangyuan Liu, Kangqing Shen, Gemine Vivone

机构 * School of Artificial Intelligence, Beijing Normal University（北京师范大学人工智能学院） ； Peking University（北京大学） ； National Center for Applied Mathematics Shenzhen (NCAMS), Southern University of Science and Technology（南方科技大学深圳应用数学国家中心） ； Department of Automation, Tsinghua University（清华大学自动化系） ； National Research Council of Italy, Institute of Integrated Methodologies for Earth Observation (CNR-IMIOT)（意大利国家研究委员会综合地球观测方法研究所） 纠错

专题命中 遥感融合与全色锐化 ：pansharpening(title,title_cn)；分类 cs.CV

AI总结 该研究针对零样本高光谱 pansharpening 问题，提出双模态提示扩散模型 DIDM，通过双模态提示注入与全色引导正则化实现空间细节与光谱保真的平衡，在多数据集实验中取得最优性能。

Multi-Head Attention Residual Unfolded Network for Model-Based Pansharpening

Ivan Pereira-Sánchez, Eloi Sans, Julia Navarro, Joan Duran

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

Linearly-evolved Transformer for Pan-sharpening

Junming Hou, Zihan Cao, Naishan Zheng, Xuan Li, Xiaoyu Chen, Xinyang Liu, Xiaofeng Cong, Man Zhou, Danfeng Hong

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

Comments 10 pages

SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening

Yu Zhong, Xiao Wu, Liang-Jian Deng, Zihan Cao

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

PC-GANs: Progressive Compensation Generative Adversarial Networks for Pan-sharpening

Yinghui Xing, Shuyuan Yang, Song Wang, Yan Zhang, Yanning Zhang

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

Comments 36 pages

Efficient and Accurate Hyperspectral Pansharpening Using 3D VolumeNet and 2.5D Texture Transfer

Yinao Li, Yutaro Iwamoto, Ryousuke Nakamura, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen

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

Model-based image adjustment for a successful pansharpening

Gintautas Palubinskas

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

Comments 17 pages, 6 figures, 7 tables

Recent Advances and New Guidelines on Hyperspectral and Multispectral Image Fusion

Renwei Dian, Shutao Li, Bin Sun, Anjing Guo

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

Universal Pansharpening Model

通用全分辨率融合基础模型

Hebaixu Wang, Jing Zhang, Haonan Guo, Di Wang, Jiayi Ma, Bo Du, Liangpei Zhang

机构 * School of Electronic Information, Wuhan University（武汉大学电子信息学院） ； School of Computer Science, Wuhan University（武汉大学计算机学院） ； State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University（武汉大学测绘遥感信息工程国家重点实验室） ； Zhongguancun Academy（中关村学院） 纠错

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

AI总结 FoundPS是一种通用全分辨率融合基础模型，通过模态交错Transformer和潜在扩散桥梁模型实现跨传感器和场景的稳健融合，提升全分辨率融合的泛化能力和鲁棒性。

Fose: Fusion of One-Step Diffusion and End-to-End Network for Pansharpening

Fose：一阶段扩散与端到端网络融合用于全色增强

Kai Liu, Zeli Lin, Weibo Wang, Linghe Kong, Yulun Zhang

机构 * Shanghai Jiao Tong University（上海交通大学） 纠错

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

AI总结 Fose通过融合一步扩散模型与端到端网络，实现全色增强的高效高精度处理，提升速度7.42倍并优于基线模型。

Comments Code link: https://github.com/Kai-Liu001/Fose

Leveraging Large-Scale Pretrained Spatial-Spectral Priors for General Zero-Shot Pansharpening

利用大规模预训练的空间-光谱先验进行通用零样本全色融合

Yongchuan Cui, Peng Liu, Yi Zeng

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

AI总结 本文提出利用大规模模拟数据预训练空间-光谱先验，提升遥感图像融合在不同传感器和条件下的泛化能力。

Pansharpening of PRISMA products for archaeological prospection

Gregory Sech, Giulio Poggi, Marina Ljubenovic, Marco Fiorucci, Arianna Traviglia

专题命中 遥感融合与全色锐化 ：pansharpening(title,abstract)；pan-sharpening(abstract)；分类 cs.CV

Journal ref IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium

PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening

RuoCheng Wu, ZiEn Zhang, ShangQi Deng, YuLe Duan, LiangJian Deng

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

Probability-based Global Cross-modal Upsampling for Pansharpening

Zeyu Zhu, Xiangyong Cao, Man Zhou, Junhao Huang, Deyu Meng

专题命中 遥感融合与全色锐化 ：pansharpening(title,abstract)；pan-sharpening(abstract)；分类 cs.CV

Comments 10 pages, 5 figures

Remote Sensing Image Fusion Based on Two-stream Fusion Network

Xiangyu Liu, Qingjie Liu, Yunhong Wang

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

Comments An extension of MMM 2018

Implementation and comparative quantitative assessment of different multispectral image pansharpening approches

Shailesh Panchal, Rajesh Thakker

专题命中 遥感融合与全色锐化 ：pansharpening(title,abstract)；pan-sharpening(abstract)；分类 cs.CV

Comments 14 pages

Hyperspectral Image Fusion with Spectral-Band and Fusion-Scale Agnosticism

多光谱图像融合与光谱波段及融合尺度无关性

Yu-Jie Liang, Zihan Cao, Liang-Jian Deng, Yang Yang, Malu Zhang

机构 * University of Electronic Science and Technology of China, School of Mathematical Sciences, Chengdu, China（电子科技大学数学学院） ； University of Electronic Science and Technology of China, Multi-Hazard Early Warning Key Laboratory of Sichuan Province, Chengdu, China（电子科技大学四川省多灾种早期预警重点实验室） ； University of Electronic Science and Technology of China, School of Computer Science and Engineering (School of Cyber Security), Chengdu, China（电子科技大学计算机科学与工程学院（网络安全学院）） 纠错

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

AI总结 本文提出SSA框架，通过Matryoshka核和隐式神经表示实现光谱波段和融合尺度无关性，使单个模型能适应不同传感器和空间尺度，实现超光谱图像融合的高效泛化。

RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening

Tao Tang, Chengxu Yang

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

Comments Accepted by the 6th International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2025). 5 pages, 6 figures

Learning to Pan-sharpening with Memories of Spatial Details

Maoxun Yuan, Tianyi Zhao, Bo Li, Xingxing Wei

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

Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs

Furkan Ozcelik, Ugur Alganci, Elif Sertel, Gozde Unal

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

Comments F. Ozcelik, U. Alganci, E. Sertel, G. Unal, "Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs", IEEE Transactions on Geoscience and Remote Sensing (TGRS), in press, 2020

CLIPPan: Adapting CLIP as A Supervisor for Unsupervised Pansharpening

Lihua Jian, Jiabo Liu, Shaowu Wu, Lihui Chen

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

Comments Accepted to AAAI 2026

THAT: Token-wise High-frequency Augmentation Transformer for Hyperspectral Pansharpening

Hongkun Jin, Hongcheng Jiang, Zejun Zhang, Yuan Zhang, Jia Fu, Tingfeng Li, Kai Luo

机构 * JPMorgan Chase（摩根大通公司） ； University of Missouri-Kansas City（密苏里大学-堪萨斯城分校） ； Ming Hsieh Department of Electrical and Computer Engineering（明希赫电气与计算机工程系） ； University of Southern California（南加州大学） ； Robinson Research Institute（罗宾逊研究学院） ； KTH Royal Institute of Technology（皇家理工学院） ； NEC Laboratories America（NEC美国实验室） ； University of Virginia（弗吉尼亚大学） 纠错

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

Comments Accepted to 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Zero-Shot Hyperspectral Pansharpening Using Hysteresis-Based Tuning for Spectral Quality Control

Giuseppe Guarino, Matteo Ciotola, Gemine Vivone, Giovanni Poggi, Giuseppe Scarpa

机构 * Department of Electrical Engineering and Information Technology, University Federico II（费米二世大学电气工程与信息科技系） ； National Research Council, Institute of Methodologies for Environmental Analysis（国家研究 council 环境分析方法研究所） ； Department of Engineering, University Parthenope（帕尔泰诺大学工程系） 纠错

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

Journal ref IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-19, 2025, Art no. 5541219

Progressive Alignment Degradation Learning for Pansharpening

Enzhe Zhao, Zhichang Guo, Yao Li, Fanghui Song, Boying Wu

机构 * Department of Computational Mathematics, School of Mathematics, Harbin Institute of Technology（计算数学系，数学学院，哈尔滨工业大学） 纠错

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

Comments 13 pages, 9 figures

Adaptive Rectangular Convolution for Remote Sensing Pansharpening

Xueyang Wang, Zhixin Zheng, Jiandong Shao, Yule Duan, Liang-Jian Deng

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

Comments 8 pages, 6 figures, Accepted by CVPR

Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening

Jie Huang, Rui Huang, Jinghao Xu, Siran Pen, Yule Duan, Liangjian Deng

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

Comments 12 pages, 13 figures

ResPanDiff: Diffusion Model for Pansharpening by Inferring Residual Inference

Shiqi Cao, Liangjian Deng, Shangqi Deng

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

Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectives

Matteo Ciotola, Giuseppe Guarino, Gemine Vivone, Giovanni Poggi, Jocelyn Chanussot, Antonio Plaza, Giuseppe Scarpa

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

U-Know-DiffPAN: An Uncertainty-aware Knowledge Distillation Diffusion Framework with Details Enhancement for PAN-Sharpening

Sungpyo Kim, Jeonghyeok Do, Jaehyup Lee, Munchurl Kim

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

Comments Please visit our project page at https://kaist-viclab.github.io/U-Know-DiffPAN-site/

Comprehensive Analysis and Improvements in Pansharpening Using Deep Learning

Mahek Kantharia, Neeraj Badal, Zankhana Shah

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