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 |
| 卷 | 34 |
| 期 | 11 |
| 出版状态 | 已出版 - 1 11月 2014 |