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无人机航摄影像色彩一致性处理方法比较

闫欣 吕扬 孙扬 李兵

北京测绘2025,Vol.39Issue(9):1307-1312,6.
北京测绘2025,Vol.39Issue(9):1307-1312,6.DOI:10.19580/j.cnki.1007-3000.2025.09.010

无人机航摄影像色彩一致性处理方法比较

Comparison of color consistency processing methods for UAV aerial photography images

闫欣 1吕扬 1孙扬 1李兵1

作者信息

  • 1. 北京市测绘设计研究院,北京,100038||城市空间信息工程北京市重点实验室,北京,100038
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摘要

Abstract

Unmanned aerial vehicle(UAV)aerial photography is a low-cost and high-efficiency method for acquiring sur-face information,capable of addressing application needs such as disaster response and dynamic monitoring.To meet the requirement of acquiring large-scale data within a short space domain window,multiple flights and various models of UAVs were employed for aerial photography.However,such aerial photography results suffer from color inconsistencies,impact-ing processing efficiency and output quality.To address this issue,three methods,namely histogram adjustment,batch pro-cessing for light uniformity,and aerial image color transfer,were adopted to achieve color consistency in the images.A com-parative evaluation of the color uniformity-adjusted images was conducted through visual comparison and quantitative analy-sis.The comparison reveals that after histogram adjustment,images suffer minimal loss of color information but have poor overall quality due to manual operation constraints;images processed through batch processing for light uniformity appear overly uniform in color,losing their uniqueness and variability;aerial image color transfer achieves different color unifor-mity parameters for different regions,unifying the overall effect while preserving the original color differences in the images.The results can serve as a reference for color uniformity adjustment in other aerial photography data.

关键词

匀光匀色/色彩迁移/无人机/航空摄影测量

Key words

light and color uniformity/color transfer/unmanned aerial vehicle/aerial photogrammetry

分类

天文与地球科学

引用本文复制引用

闫欣,吕扬,孙扬,李兵..无人机航摄影像色彩一致性处理方法比较[J].北京测绘,2025,39(9):1307-1312,6.

基金项目

科技部创新工作方法专项(2020IM020500) (2020IM020500)

北京测绘

1007-3000

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