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基于光谱矫正的火星图像融合增强方法

王鹏 苏逸扬 梁潇 麻显雄

空间控制技术与应用2025,Vol.51Issue(5):48-57,10.
空间控制技术与应用2025,Vol.51Issue(5):48-57,10.DOI:10.3969/j.issn.1674-1579.2025.05.005

基于光谱矫正的火星图像融合增强方法

Mars Images Fusion Enhancement Method Based on Spectral Correction

王鹏 1苏逸扬 2梁潇 3麻显雄2

作者信息

  • 1. 南京航空航天大学,南京 211106||光电测量与智能感知中关村开放实验室,北京 100094||北京控制工程研究所,北京 100094
  • 2. 南京航空航天大学,南京 211106
  • 3. 光电测量与智能感知中关村开放实验室,北京 100094||北京控制工程研究所,北京 100094
  • 折叠

摘要

Abstract

Mars is a focal point for human deep space exploration,and the quality of Martian images is crucial for the execution of various exploration missions.Due to the constraints of imaging and transmission conditions,a single sensor often struggles to acquire Martian images that are rich in both spatial and spectral information.To address this limitation,this paper proposes a fusion-based enhancement method for Martian images incorporating spectral correction.This approach integrates high-resolution single-band CTX images with low-resolution multi-band CRISM images to produce fused images with enhanced quality.Specifically,this paper constructs an atmospheric light-based spectral correction module to mitigate the effects of Mars'complex climatic conditions and challenging imaging environment.Building upon this,an image fusion and enhancement model is developed within a high-pass modulation injection framework to improve the algorithm's generalization capability.Fusion experiments were conducted using image data from two regions:Holden Crater and Nilosyrtis Mensae.Results from both simulated and real data experiments demonstrate that the proposed method can generate fused images with superior quality,outperforming a range of selected classical and state-of-the-art algorithms.

关键词

火星图像/光谱矫正/图像增强/图像融合

Key words

Mars images/spectral correction/image enhancement/image fusion

分类

航空航天

引用本文复制引用

王鹏,苏逸扬,梁潇,麻显雄..基于光谱矫正的火星图像融合增强方法[J].空间控制技术与应用,2025,51(5):48-57,10.

基金项目

光电测量与智能感知中关村开放实验室开放基金资助(LabSOMP-2024-12)和国家自然科学基金资助项目(61801211) Optoelectronic Measurement and Intelligent Perception Zhongguancun Open Laboratory(LabSOMP-2024-12)and National Natural Science Foundation of China(61801211) (LabSOMP-2024-12)

空间控制技术与应用

OA北大核心

1674-1579

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