Fast UAV aerial image stitching based on predicted-region matching

Chun Xiao Gao*, Peng Xiong, Zan Zhou, Xian Peng Liu, Xiao Xiong Li, Chao Gao

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

Image stitching is one of the most important core technologies in UAV research areas. In battlefield, the images captured by UAV will be stitched into a panorama picture in order to help commanding officers understand the battlefield dynamics and make strategic decisions. In this paper, a fast and accurate algorithm of stitching based on UAV images was proposed. Aerial images will be processed by feature detection and extraction, and then an innovative matching strategy within a predicted region, finally a feather blender. This algorithm is fast with good quality. The effectiveness and efficiency were confirmed using both Google Earth images and real UAV images in experiments.

源语言英语
页(从-至)1202-1206
页数5
期刊Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
34
11
出版状态已出版 - 1 11月 2014

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