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基于跨层协同交互与空频联合感知的遥感图像去雾

余梅 刘绍宾 陆林

现代电子技术2026,Vol.49Issue(9):51-59,9.
现代电子技术2026,Vol.49Issue(9):51-59,9.DOI:10.16652/j.issn.1004-373x.2026.09.009

基于跨层协同交互与空频联合感知的遥感图像去雾

Remote sensing image dehazing based on cross-layer collaborative interaction and spatial-frequency joint perception

余梅 1刘绍宾 2陆林2

作者信息

  • 1. 三峡大学 水电工程智能视觉监测湖北省重点实验室,湖北 宜昌 443002||三峡大学 计算机与信息学院,湖北 宜昌 443002||三峡大学 三峡数智研究院,湖北 宜昌 443002
  • 2. 三峡大学 水电工程智能视觉监测湖北省重点实验室,湖北 宜昌 443002||三峡大学 计算机与信息学院,湖北 宜昌 443002
  • 折叠

摘要

Abstract

In view of the image degradation,texture loss,and color distortion in the dehazing process of the existing U-shaped dehazing networks,this paper proposes a remote sensing image dehazing network based on cross-layer collaborative interaction and spatial-frequency joint perception.Specifically,a cross-layer collaborative interaction module is introduced.This module can effectively capture long-range dependencies among cross-layer features,expand the local receptive field,and facilitate the collaborative interaction of global and local information during both encoding and decoding stages,so as to enhance the dehazing performance.Additionally,a spatial-frequency joint perception module is proposed.This module can realize the complement of the spatial domain and frequency domain by fusing spatial and frequency features,so as to improve the recovery of image texture and color.Experiments show that the proposed algorithm outperforms the existing methods on the public remote sensing haze datasets HRSD and RRSHID-Thick.To sum up,this method has a certain applicability.

关键词

遥感图像去雾/跨层协同交互/空频联合感知/特征融合/U型网络/Mamba-CNN

Key words

remote sensing image dehazing/cross-layer collaborative interaction/spatial-frequency joint perception/feature fusion/U-shaped network/Mamba-CNN

分类

信息技术与安全科学

引用本文复制引用

余梅,刘绍宾,陆林..基于跨层协同交互与空频联合感知的遥感图像去雾[J].现代电子技术,2026,49(9):51-59,9.

基金项目

湖北省自然科学基金一般面上项目(2025AFB538) (2025AFB538)

现代电子技术

1004-373X

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