基于压缩感知的无人机航拍遥感图像动态重构方法  

Dynamic Reconstruction Method of UAV Aerial Remote Sensing Image Based on Compressed Sensing

作　　者：马广迪 杨为琛 MA Guangdi;YANG Weichen(Zhejiang Guoyao Geographic Information Technology Company Limited, Huzhou Zhejiang 313200, China)

机构地区：[1]浙江国遥地理信息技术有限公司,浙江湖州313200

出　　处：《北京测绘》2021年第9期1168-1172,共5页Beijing Surveying and Mapping

摘　　要：针对当前无人机航拍遥感图像动态重构效果不佳,图像清晰度较低的问题,提出基于压缩感知的无人机航拍遥感图像动态重构方法。构建无人机航拍遥感影像降质模型,获取图像特征信息,进一步对无人机航拍遥感图像进行降噪预处理,更好地提高无人机航拍遥感图像的分辨率、光谱和多时相趋势,有效解决采样数据量大、采样时间长、数据传输存储量大等资源浪费问题。最大程度上提高无人机航拍遥感图像的采样率、降低无人机航拍遥感图像动态重构复杂度,有效获得高质量的图像重建的研究要求。实验结果表明,提出的基于压缩感知的无人机航拍遥感图像动态重构方法正确有效,优于目前的主流方法。Aiming at the problems of poor dynamic reconstruction effect and low image clarity of UAV(Unmanned Aerial Vehicle)aerial remote sensing image,a dynamic reconstruction method of UAV aerial remote sensing image based on compressed sensing was proposed.In order to improve the resolution,spectrum and multi temporal trend of UAV aerial remote sensing image,the degradation model of UAV aerial remote sensing image was constructed to obtain image feature information,and further noise reduction pretreatment was carried out for UAV aerial remote sensing image,which could effectively solve the resource waste problems such as large amount of sampling data,long sampling time and large amount of data transmission and storage.It could improve the sampling rate of UAV aerial remote sensing image to the greatest extent,reduce the complexity of dynamic reconstruction of UAV aerial remote sensing image,and effectively obtain the research requirements of high-quality image reconstruction.The experimental results showed that the proposed dynamic reconstruction method based on compressed sensing for UAV aerial remote sensing image was correct and effective,which was superior to the current mainstream methods.

关 键 词：压缩感知 无人驾驶飞机 遥感图像 图像动态重构 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置] P237[自动化与计算机技术—控制科学与工程]