期刊名：Remote Sensing

期刊主页： https://www.mdpi.com/journal/remotesensing

近年来，Mamba架构因其高效的全局建模能力受到广泛关注，在遥感图像处理领域，Mamba已被成功应用于语义分割、变化检测、目标检测、图像分类、超分辨率重建等多个方向。本期文献清单精选了15篇近期在Remote Sensing期刊发表的相关研究，希望能为相关领域的学者提供研究灵感。

1. U-Shaped Dual Attention Vision Mamba Network for Satellite Remote Sensing Single-Image Dehazing

面向卫星遥感单幅图像去雾的U型双注意力Vision Mamba网络

https://www.mdpi.com/2072-4292/17/6/1055

Sui, T.; Xiang, G.; Chen, F.; Li, Y.; Tao, X.; Zhou, J.; Hong, J.; Qiu, Z. U-Shaped Dual Attention Vision Mamba Network for Satellite Remote Sensing Single-Image Dehazing. Remote Sens. 2025, 17, 1055.

2. HMCNet: A Hybrid Mamba–CNN UNet for Infrared Small Target Detection

HMCNet：面向红外小目标检测的混合Mamba-CNN Unet

https://www.mdpi.com/2072-4292/17/3/452

Li, B.; Rao, P.; Su, Y.; Chen, X. HMCNet: A Hybrid Mamba–CNN UNet for Infrared Small Target Detection. Remote Sens. 2025, 17, 452.

3. Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook

遥感领域Vision Mamba技术、应用与展望的全面综述

https://www.mdpi.com/2072-4292/18/4/594

Bao, M.; Lyu, S.; Xu, Z.; Zhou, H.; Ren, J.; Xiang, S.; Li, X.; Cheng, G. Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook. Remote Sens. 2026, 18, 594.

4. CDWMamba: Cloud Detection with Wavelet-Enhanced Mamba for Optical Satellite Imagery

CDWMamba：基于小波增强Mamba的光学卫星图像云检测

https://www.mdpi.com/2072-4292/17/11/1874

Meng, S.; Gong, W.; Li, S.; Song, G.; Yang, J.; Ding, Y. CDWMamba: Cloud Detection with Wavelet-Enhanced Mamba for Optical Satellite Imagery. Remote Sens. 2025, 17, 1874.

5. MambaMeshSeg-Net: A Large-Scale Urban Mesh Semantic Segmentation Method Using a State Space Model with a Hybrid Scanning Strategy

MambaMeshSeg-Net：基于混合扫描策略状态空间模型的大规模城市网格语义分割网络

https://www.mdpi.com/2072-4292/17/9/1653

Zi, W.; Chen, H.; Li, J.; Wu, J. MambaMeshSeg-Net: A Large-Scale Urban Mesh Semantic Segmentation Method Using a State Space Model with a Hybrid Scanning Strategy. Remote Sens. 2025, 17, 1653.

6. HTMNet: Hybrid Transformer–Mamba Network for Hyperspectral Target Detection

HTMNet：基于混合Transformer–Mamba网络的高光谱目标检测方法

https://www.mdpi.com/2072-4292/17/17/3015

Zheng, X.; Kuang, Y.; Huo, Y.; Zhu, W.; Zhang, M.; Wang, H. HTMNet: Hybrid Transformer–Mamba Network for Hyperspectral Target Detection. Remote Sens. 2025, 17, 3015.

7. MMamba: An Efficient Multimodal Framework for Real-Time Ocean Surface Wind Speed Inpainting Using Mutual Information and Attention-Mamba-2

MMamba：基于互信息与注意力-Mamba-2的实时多模态海面风速修复框架

https://www.mdpi.com/2072-4292/17/17/3091

Shi, X.; Ni, W.; Duan, B.; Su, Q.; Liu, L.; Ren, K. MMamba: An Efficient Multimodal Framework for Real-Time Ocean Surface Wind Speed Inpainting Using Mutual Information and Attention-Mamba-2. Remote Sens. 2025, 17, 3091.

8. FEMNet: A Feature-Enriched Mamba Network for Cloud Detection in Remote Sensing Imagery

FEMNet：面向遥感图像云检测的特征增强Mamba网络

https://www.mdpi.com/2072-4292/17/15/2639

Liu, W.; Luo, B.; Liu, J.; Nie, H.; Su, X. FEMNet: A Feature-Enriched Mamba Network for Cloud Detection in Remote Sensing Imagery. Remote Sens. 2025, 17, 2639.

9. VMMCD: VMamba-Based Multi-Scale Feature Guiding Fusion Network for Remote Sensing Change Detection

VMMCD：面向遥感变化检测的VMamba多尺度特征引导融合网络

https://www.mdpi.com/2072-4292/17/11/1840

Chen, Z.; Chen, H.; Leng, J.; Zhang, X.; Gao, Q.; Dong, W. VMMCD: VMamba-Based Multi-Scale Feature Guiding Fusion Network for Remote Sensing Change Detection. Remote Sens. 2025, 17, 1840.

10. AECA-FBMamba: A Framework with Adaptive Environment Channel Alignment and Mamba Bridging Semantics and Details

AECA-FBMamba：基于自适应环境通道对齐和Mamba桥接语义与细节的框架

https://www.mdpi.com/2072-4292/17/11/1935

Chai, X.; Zhang, W.; Li, Z.; Zhang, N.; Chai, X. AECA-FBMamba: A Framework with Adaptive Environment Channel Alignment and Mamba Bridging Semantics and Details. Remote Sens. 2025, 17, 1935.

11. LinU-Mamba: Visual Mamba U-Net with Linear Attention to Predict Wildfire Spread

LinU-Mamba：融合线性注意力的视觉Mamba U-Net野火蔓延预测模型

https://www.mdpi.com/2072-4292/17/15/2715

Andrianarivony, H.S.; Akhloufi, M.A. LinU-Mamba: Visual Mamba U-Net with Linear Attention to Predict Wildfire Spread. Remote Sens. 2025, 17, 2715.

12. Mamba for Remote Sensing: Architectures, Hybrid Paradigms, and Future Directions

遥感中的Mamba：架构、混合范式与未来方向

https://www.mdpi.com/2072-4292/18/2/243

Li, Z.; Zhao, L.; Lu, Y.; Ma, Y.; Li, G. Mamba for Remote Sensing: Architectures, Hybrid Paradigms, and Future Directions. Remote Sens. 2026, 18, 243.

13. Non-Exemplar Incremental ISAR Target Classification via Mix-Mamba Feature Adjustment Network

基于Mix-Mamba特征调整网络的无范例增量ISAR目标分类

https://www.mdpi.com/2072-4292/17/12/2081

Xue, R.; Li, C.; Peng, W.; Bai, X.; Zhou, F. Non-Exemplar Incremental ISAR Target Classification via Mix-Mamba Feature Adjustment Network. Remote Sens. 2025, 17, 2081.

14. Mamba-Based Infrared and Visible Images Fusion Method

基于Mamba的红外与可见光图像融合方法

https://www.mdpi.com/2072-4292/18/4/636

He, J.; Cheng, J.; Liu, T.; Cheng, B.; Pan, X.; Cai, Y. Mamba-Based Infrared and Visible Images Fusion Method. Remote Sens. 2026, 18, 636.

15. CF-Mamba: A Dual-Path Collaborative Method for Hyperspectral Image Classification

CF-Mamba：面向高光谱图像分类的双路径协同方法

https://www.mdpi.com/2072-4292/18/7/1063

Wang, Y.; Cao, G.; Shi, B.; Zhang, Y. CF-Mamba: A Dual-Path Collaborative Method for Hyperspectral Image Classification. Remote Sens. 2026, 18, 1063.

期刊介绍

主编：Prasad S. Thenkabail, USGS Western Geographic Science Center (WGSC), USA;

Dongdong Wang, Peking University, China

期刊范围涵盖遥感科学所有领域，从传感器的设计、验证和校准，到遥感在地球科学、环境生态、城市建筑等各方面的广泛应用。

2025 Impact Factor：4.3

2025 CiteScore：9.4

Time to First Decision：22 Days

Acceptance to Publication：2.9 Days