摘要
随着测绘信息技术的快速发展及地理信息系统的广泛应用,航空航天遥感技术近年来也得到了飞速的发展和应用,已成为获取地理信息数据的主要途径。在这一领域,卫星遥感和无人机航拍是获取影像的主要手段,在一定的区域内,无人机技术更具有明显优势,比如方便快捷、简单易用,能快速获取高时空高分辨率影像,因此无人机航拍技术有着越来越广泛的应用。但无人机飞行高度较低,获取的影像像幅小,像片数量大,需要把大量的单张影像拼接在一起,来制作一定区域的正射影像,才能达到研究及应用影像的要求。本文简单介绍了遥感影像拼接技术的研究现状以及面临的问题,主要对数字影像的特征提取、影像匹配、图像融合技术方法进行了较为详细的介绍。最后通过对图像拼接技术的展望及一些改进的方向,为影像拼接的进一步探索提供参考。
With the rapid development of surveying and mapping information technology and the wide application of GIS,aerospace remote sensing technology has been rapidly developed and applied in recent years,which has become the main way to obtain geographic information data.In this field,satellite remote sensing and UAV aerial photography are the main means to obtain images.In a certain area,UAV technology has obvious advantages,such as convenient,easy to use and the ability to quickly obtain high-space-time high-resolution images.Therefore,UAV aerial photography technology has been used more and more widely.However,the disadvantage of UAV is that the flying height of UAV is low,the image amplitude is small and the number of images is large,so a large number of single images need to be stitched together to make orthophoto images in a certain area in order to meet the requirements of research and application images.This paper briefly introduces the research status and problems of remote sensing image mosaic technology,mainly introduces the digital image feature extraction,image matching and image fusion technology.Finally,through the prospect of image stitching technology and some improvement directions,this paper provides a reference for the further exploration.
作者
吕国卿
李敏
娄和松
LYU Guoqing;LI Min;LOU Hesong(Surveying and Mapping Engineering Institute of Henan Province,Zhengzhou 450003,China;Henan Geomatics Center,Zhengzhou 450003,China;Zhengzhou Zhixiang Surveying and Mapping Information Technology Co.,Ltd.,Zhengzhou 450003,China)
出处
《测绘与空间地理信息》
2019年第10期168-170,共3页
Geomatics & Spatial Information Technology
关键词
影像拼接
特征提取
图像配准
图像融合
image mosaic
feature extraction
image registration
image fusion