南京师范大学学报（工程技术版）2026，Vol.26Issue(2)：38-45,56,9.DOI:10.3969/j.issn.1672-1292.2026.02.005
无人机数字正射影像阴影区域补偿方法研究
Research on Shadow Region Compensation Method of UAV Digital Orthophoto
马小博 1张敉源 1赖正清 1李硕1
作者信息
- 1. 南京师范大学虚拟地理环境教育部重点实验室,江苏 南京 210023||南京师范大学江苏省地理环境演化国家重点实验室培育建设点,江苏 南京 210023||江苏省地理信息资源开发与利用协同创新中心,江苏 南京 210023
- 折叠
摘要
Abstract
Aiming at the problems of lack of spectral information of the features,decrease in contrast and blurred texture of features in the shaded region in the orthophoto data acquired by UAV,we propose the Auto-Levels AINDANE shadow compensation algorithm in HSV color space.Based on the AINDANE(adaptive and integrated neighborhood dependent approach for nonlinear enhancement)algorithm for global low-light image enhancement,the algorithm converts the RGB orthophoto image into HSV color space,separates the luminance component V for enhancement,and adopts the auto-contrast for the color level adjustment to achieve the shadow compensation of orthoimage.Several DOM data of typical land classes is selected for shadow compensation experiments.And the algorithm is compared with the original AINDANE algorithm and four other shadow compensation methods.The results show that,compared with the original algorithm and the other four shadow compensation methods,the algorithm significantly improves the visual effect of the image,effectively recovers the feature information in the shadow region,and maintains the overall color balance and fidelity of the image.关键词
遥感图像处理/阴影补偿/数字正射影像/HSV色彩空间/AINDANE算法Key words
processing of remote sensing image data/shadow compensation/digital orthophoto map/HSV color space/AINDANE algorithm分类
信息技术与安全科学引用本文复制引用
马小博,张敉源,赖正清,李硕..无人机数字正射影像阴影区域补偿方法研究[J].南京师范大学学报（工程技术版）,2026,26(2):38-45,56,9.
