Name
Title | ||
|---|---|---|
A Fusion Algorithm Based on Position Difference Filtering and Least Squares Estimate for Dynamic Scene Matching |
Abstract | ||
|---|---|---|
For scene matching navigation system, a new fusion algorithm based on Position Difference Filtering (PDF) and Least Squares Estimate (LSE) for dynamic scene matching is proposed to enhance the reliability and matching precision. After the matching results fusion problems for aircraft dynamic scene matching navigation system being analyzed, PDF method is presented to filter the mismatching points and LSE method is adopted to optimum parameter estimation according to the error characteristic of matching position point sequence, then the mismatching points are estimated and the matching position are predicted. It can be seen from the simulation experimental results that the proposed algorithm is feasible and available to eliminate random matching disturbance and the mismatching points for dynamic scene matching navigation system. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CIS.2013.88 | CIS |
Keywords | Field | DocType |
matching results fusion problem,position difference filtering,navigation system,dynamic scene matching,mismatching point,random matching disturbance,squares estimate,matching precision,matching position,fusion algorithm,dynamic scene,lse method,aircraft dynamic scene,parameter estimation | Least squares,Scene matching,Computer science,Fusion,Artificial intelligence,Estimation theory,Computer vision,Mathematical optimization,Pattern recognition,Image matching,Navigation system,Algorithm,Filter (signal processing) | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhaohui Xia | 1 | 6 | 1.78 |
| Jianyong Wang | 2 | 5295 | 230.18 |
| Xiaogang Yang | 3 | 0 | 0.68 |