Name
Abstract | ||
|---|---|---|
Currently the UAV photographic data is unstable, turbulent and inaccurate, and these flaws make image stitching difficult. This paper proposed an innovative fast method based on global subdivision GeoSOT grid frame. And this method can apply to the high-speed image stitching of a certain area at different times on the UAV. The experiment result shows the advantages of the new method over the traditional one. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/IGARSS.2015.7326136 | IGARSS |
Keywords | Field | DocType |
image stitching, GeoSOT, UAVA | Computer vision,Image stitching,Algorithm design,Computer graphics (images),Computer science,Remote sensing,Feature extraction,Subdivision,Artificial intelligence,Image resolution,Grid | Conference |
ISSN | Citations | PageRank |
2153-6996 | 1 | 0.35 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhe Yang | 1 | 1 | 0.35 |
| Weixin Zhai | 2 | 2 | 1.80 |
| Dong Chen | 3 | 1 | 0.69 |
| Wei Zhang | 4 | 108 | 8.83 |
| Chengqi Cheng | 5 | 19 | 18.71 |