Name
Abstract | ||
|---|---|---|
Environmental monitoring applications require seamless registration of optical data into large area mosaics that are geographically referenced to the world frame. Using frame-by-frame image registration alone, we can obtain seamless mosaics, but it will not exhibit geographical accuracy due to frame-to-frame error accumulation. On the other hand, the 3D geo-data from GPS, a laser profiler, an INS system provides a globally correct track of the motion without error propagation. However, the inherent (absolute) errors in the instrumentation are large for seamless mosaicing. The paper describes an effective two-track method for combining two different sources of data to achieve a seamless and geo-referenced mosaic, without 3D reconstruction or complex global registration. Experiments with real airborne video images show that the proposed algorithms are practical in important environmental applications. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/s00138-005-0173-x | Mach. Vis. Appl. |
Keywords | Field | DocType |
Image registration,Video mosaicing,Motion analysis,Geo-reference image,Environmental modeling | Computer vision,Propagation of uncertainty,Computer science,Artificial intelligence,Environmental modeling,Global Positioning System,Motion analysis,Image registration,Environmental monitoring,Instrumentation,3D reconstruction | Journal |
Volume | Issue | ISSN |
16 | 4 | 0932-8092 |
Citations | PageRank | References |
19 | 0.92 | 18 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhigang Zhu | 1 | 467 | 58.83 |
| E. M. Riseman | 2 | 1402 | 458.95 |
| A. Hanson | 3 | 1348 | 304.11 |
| Howard Schultz | 4 | 78 | 7.42 |