摘要
无人机遥感是一种新的遥感手段,具有快速、灵活、低成本、高影像分辨率等特点。无人机技术已经被广泛应用于资源勘测、气象观测及处理突发事件等领域中,成为未来航空器的发展方向之一。由于无人机采用的非量测相机且飞行高度较低、平台不稳定等特点,图像具有相幅小、数量多、航带不规则等特点,为了得到该地区的全景图像,图像拼接成为解决该问题的关键技术。基于SIFT特征的无人机遥感影像拼接技术相对别的遥感影像拼接技术有它的优势和特点,本文主要介绍了SIFI算法和基于此算法的遥感影像拼接技术。
UAV（Unmanned Aerial Vehicle）remote sensing is a new means of remote sensing,with the characteristics of fast,flexible,low-cost,high image resolution.UAV technology has been widely used in resource exploration in the field of meteorological observations and to handle unexpected events,which will become one of the future directions of development of the aircraft.UAV uses non-measurement camera and flies at low altitudes and platform instability,the image of the increase is small,the number is large,and is also with irregular part of the solution.In order to get the panoramic image,image stitching becomes the key technology issues.Compared to other remote sensing image stitching technology,UAV remote sensing image stitching technique based on SIFT features has its advantages and characteristics.This article introduces the SIFI algorithm and splicing techniques of remote sensing images based on this algorithm.
出处
《科技广场》
2012年第7期9-12,共4页
Science Mosaic
关键词
无人机遥感
图像拼接
SIFI特征
UAV Remote Sensing
Image Stitching
SIFI Characteristics
