Name
Abstract | ||
|---|---|---|
The RPC (Rational Polynomial Coefficient) model can be used as a replacement sensor model for geo-coding spaceborne SAR data. A hybrid method, combining the L-curve and the IMCCV (Iteration method by correcting characteristic value) method, for solving ill-conditioned equations in the RPC model is proposed. The hybrid method can get higher accuracy at low cost of calculation time. Based on an example in Malaysia, the application for fast RPC geocoding for stereo radargrammetry is shown. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/IGARSS.2010.5653665 | IGARSS |
Keywords | Field | DocType |
rational polynomial coefficient,synthetic aperture radar,sar,stereo radargrammetry,rpc modeling,l-curve,correcting characteristic value,rpc geocoding,spaceborne sar,imccv,iteration method,geocoding,rpc,stereo image processing,radargrammetry,spaceborne radar,malaysia,polynomials,iterative methods,data models,remote sensing,computational modeling,mathematical model,accuracy | Spaceborne radar,Computer vision,Data modeling,Polynomial,Geocoding,Synthetic aperture radar,Iterative method,Computer science,Remote sensing,Rational polynomial coefficient,Artificial intelligence,Sensor model | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4244-9564-1 | 978-1-4244-9564-1 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xueyan He | 1 | 0 | 0.34 |
| Xiaohong Wei | 2 | 0 | 0.34 |
| Lu Zhang | 3 | 35 | 10.89 |
| Timo Balz | 4 | 32 | 15.17 |
| Mingsheng Liao | 5 | 191 | 43.90 |