基于梯度一致性约束的无人机多光谱影像融合算法

doi:10.13229/j.cnki.jdxbgxb.20240525

吉林大学学报(工学版) ›› 2025, Vol. 55 ›› Issue (6): 2076-2081.doi: 10.13229/j.cnki.jdxbgxb.20240525

基于梯度一致性约束的无人机多光谱影像融合算法

唐毅^1,²(),鹿丙川¹,易虹辰⁴,余成³,南彬³

^1.苏州科技大学环境科学与工程学院，江苏苏州 215009
^2.苏州科技大学城市生活污水资源化利用技术国家地方联合工程实验室，江苏苏州 215009
^3.苏州科技大学地理科学与测绘工程学院，江苏苏州 215009
^4.东北师范大学环境学院，长春 130024

收稿日期:2024-05-14 出版日期:2025-06-01 发布日期:2025-07-23
作者简介:唐毅（1978-），男，高级实验师，硕士.研究方向：环境遥感，无人机遥感，数字图像处理. E-mail：tangyi2k3@163.com
基金资助:
国家自然科学基金项目(41801148)

Multi spectral image fusion algorithm for unmanned aerial vehicles based on gradient consistency constraint

Yi TANG^1,²(),Bing-chuan LU¹,Hong-chen YI⁴,Cheng YU³,Bin NAN³

^1.School of Environmental Science and Engineering，Suzhou University of Science and Technology，Suzhou 215009，China
^2.National and Local Joint Engineering Laboratory for Municipal Sewage Resource Utilization Technology，Suzhou University of Science and Technology，Suzhou 215009，China
^3.School of Geography Science and Geomatics Engineering，Suzhou University of Science and Technology，Suzhou 215009，China
^4.School of Environment，Northeast Normal University，Changchun 130024，China

Received:2024-05-14 Online:2025-06-01 Published:2025-07-23

摘要/Abstract

摘要：

针对地物种类较多、无人机光谱影像特征难提取、光谱信息不确定导致的融合效果不佳问题，提出了一种基于梯度一致性约束的无人机多光谱影像融合算法。通过光束平差算法确保地物点坐标与影像投射坐标的一致性，并利用小波变换提取影像特征，结合梯度一致性算法构建目标融合函数，通过迭代运算实现高质量的影像融合。实验证明，经该方法融合后的影像细节清晰、分辨率高且信息完整性好，可为无人机多光谱影像的后续应用提供强有力的技术支持，尤其在环境监测、农业评估等领域展现出广阔的应用前景。

关键词: 遥感, 梯度一致性约束, 无人机多光谱影像, 影像融合, 局部能量, 边缘梯度

Abstract:

A UAV multispectral image fusion algorithm based on gradient consistency constraint was proposed to address the issues of multiple types of ground objects， difficulty in extracting features from UAV spectral images， and poor fusion performance caused by uncertain spectral information. By using the beam adjustment algorithm to ensure the consistency between the coordinates of ground points and the projected coordinates of images， and using wavelet transform to extract image features， combined with gradient consistency algorithm to construct the target fusion function， high-quality image fusion is achieved through iterative operation. Experimental results have shown that the fused image of this method has clear details， high resolution， and good information integrity， providing strong technical support for the subsequent application of unmanned aerial vehicle multispectral images， especially in the fields of environmental monitoring， agricultural evaluation， etc， it has shown broad application prospects.

Key words: remote sense, gradient consistency constraint, multi spectral imaging of drones, image fusion, local energy, edge gradient

中图分类号:

TP227

唐毅,鹿丙川,易虹辰,余成,南彬. 基于梯度一致性约束的无人机多光谱影像融合算法[J]. 吉林大学学报(工学版), 2025, 55(6): 2076-2081.

Yi TANG,Bing-chuan LU,Hong-chen YI,Cheng YU,Bin NAN. Multi spectral image fusion algorithm for unmanned aerial vehicles based on gradient consistency constraint[J]. Journal of Jilin University(Engineering and Technology Edition), 2025, 55(6): 2076-2081.

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参数名称	参数取值
影像大小	256×256
平均时间消耗/s	0.21
显色指数	95.2
辐射通量/MW	0.518
光效/（lm·W^-1）	79.26
无人机成像射线/nm	10⁴
成像点范围/mm	800~1 200

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基于梯度一致性约束的无人机多光谱影像融合算法

Multi spectral image fusion algorithm for unmanned aerial vehicles based on gradient consistency constraint

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