无人机航测遥感图像边缘畸变自适应校正方法研究
Research on Adaptive Correction Methods for the Edge Distortion of the Remote Sensing Images of UAV Aerial Surveys
杨骁1
作者信息
- 1. 四川省交通勘察设计研究院有限公司 四川成都 610017
- 折叠
摘要
为提升遥感图像边缘畸变处理清晰度,提出无人机航测遥感图像边缘畸变自适应校正方法研究.根据当前校正需求,先进行图像边缘畸变特征的提取,采用多阶的方式,提升校正的整体效率,并设定多阶自适应校正机制.基于此,构建遥感图像边缘畸变自适应校正模型,采用线性放射辅助变换的方式来实现校正处理.测试结果表明:处理后图像边缘清晰度在第三阶段均可以达到300 ppi以上,具有稳定、灵活、高效的特点.
Abstract
In order to improve the clarity of the edge distortion processing of remote sensing images,research on an adaptive correction method for the edge distortion of the remote sensing images of UAV aerial surveys is proposed.According to current correction requirements,the edge distortion features of images are first extracted,the overall efficiency of the correction is improved by a multi-stage method,and a multi-stage adaptive correction mechanism is set.Based on this,an adaptive correction model for the edge distortion of remote sensing images is constructed,and a linear radiation-assisted transformation method is adopted to realize correction processing.Test results show that the clarity of the edge definition of images can reach more than 300ppi in the third stage,which has the charac-teristics of stability,flexibility and efficiency.
关键词
无人机/航测遥感/图像边缘畸变/自适应校正/校正方法/遥感技术Key words
UAV/Aerial survey and remote sensing/Edge distortion of images/Adaptive correction/Correction method/Remote sensing technology引用本文复制引用
出版年
2024
NETL
NSTL
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