测绘通报 ›› 2023, Vol. 0 ›› Issue (11): 30-35,47.doi: 10.13474/j.cnki.11-2246.2023.0323

• 学术研究 • 上一篇    下一篇

高分航空光学遥感影像的山体阴影去除方法

郭伟, 陆婉芸, 邓廷起, 黄国栋, 尤文瑜, 杨荣欣, 俞涵, 董寿银, 江瑞   

  1. 浙江省测绘科学技术研究院, 浙江 杭州 310023
  • 收稿日期:2023-02-09 出版日期:2023-11-25 发布日期:2023-12-07
  • 通讯作者: 陆婉芸。E-mail:wanyunlu@smail.nju.edu.cn
  • 作者简介:郭伟(1981—),男,高级工程师,主要从事航空摄影测量方面的研究。E-mail:fred_george@sina.com
  • 基金资助:
    国家自然科学基金(41901121);浙江省自然资源厅科技项目(2021-057)

Mountain shadow removal for high-resolution aerial optical remote sensing images

GUO Wei, LU Wanyun, DENG Tingqi, HUANG Guodong, YOU Wenyu, YANG Rongxin, YU Han, DONG Shouyin, JIANG Rui   

  1. Zhejiang Academy of Surveying and Mapping, Hangzhou 310023, China
  • Received:2023-02-09 Online:2023-11-25 Published:2023-12-07

摘要: 阴影是山区高分航空影像严重的干扰因素,去除山体阴影有助于提高实景三维建设、林业调查、变化检测等应用的准确性和有效性。本文构建了高分航空遥感影像的山体阴影指数(MSI),并提出了基于色彩迁移和色彩均衡的阴影去除方法。采用覆盖山区的0.2 m航空影像进行试验,结果表明,MSI和阈值分割法可以有效地检测航空影像的山体阴影,而结合对象化色彩迁移和基于邻域的非线性色彩均衡的阴影去除法既能有效地消除山体阴影,又能使阴影区域恢复纹理细节,色彩更贴合于非阴影区域,达到影像整体色彩更加均衡的效果。分析阴影去除前后的统计指标发现,随着阴影的去除,各波段平均值和标准差都明显增加,说明阴影区域的亮度有提高且色彩层次更加丰富。

关键词: 航空遥感, 高分光学影像, 山体阴影, 检测与去除, 色彩处理

Abstract: Shadow is a serious interference factor for high-resolution aerial imagery in mountainous areas. Removing mountain shadow can help improve the accuracy and effectiveness of applications, such as real-life 3D construction, forestry investigation, change detection and more. In this paper, the mountain shadow index (MSI) of high-resolution aerial remote sensing image is constructed, and a shadow removal method based on color migration and color equalization is proposed. The experiment is conducted with 0.2 m aerial imagery covering mountainous areas, the results show that MSI and threshold segmentation method can effectively detect the mountain shadow of aerial imagery, and the shadow removal method combining objectified color migration and neighborhood based nonlinear color balance can effectively eliminate mountain shadow, and can also restore texture detail in the shadow area, and make the color more suitable for non-shadow areas, so as to achieve a more balanced effect of the overall color of the image. Statistically analyzing the statistical indicators before and after shadow removal, with the removal of the shadow, the average value and standard deviation of each band increased significantly, indicating that the brightness of the shadow area is improved and the color level is richer.

Key words: aerial remote sensing, high-resolution optical images, mountain shadow, detection and compensation, color processing

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