Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 1202-1206 |
| Number of pages | 5 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 34 |
| Issue number | 11 |
| Publication status | Published - 1 Nov 2014 |
Keywords
- Aerial image
- Image align
- Image stitching
- Predicted-region matching
- UAV