Name
Title | ||
|---|---|---|
Study on Application of Scale Invariant Feature Transform Algorithm on Automated Geometric Correction of Remote Sensing Images. |
Abstract | ||
|---|---|---|
In recent years, data collected from remote sensing satellite and aerophotography have been showing a geometric sequence increase. A method of Scale Invariant Feature Transform (SIFT) algorithm could be employed for the automatic geometric fine correction. This method could avoid the impact of the rotation and zooming of template matching during the image matching process, and it can also save the labor during the image processing operation. Based on the SIFT algorithm, this paper proposes a two-step method, which firstly conducts coarse match on feature points, and then further conducts fine correction on the coarsely matched feature points by using the least squares technique. The result indicates that, this method is an effective automatic matching method for remote sensing images. © 2013 IFIP International Federation for Information Processing. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-36137-1_41 | IFIP Advances in Information and Communication Technology |
Keywords | Field | DocType |
automatic geometric correction,least squares,remote sensing image,sift algorithm | Template matching,Least squares,Scale-invariant feature transform,Computer science,Remote sensing,Image processing,Artificial intelligence,Computer vision,Satellite,Pattern recognition,Image matching,Zoom,Algorithm | Conference |
Volume | Issue | ISSN |
393 AICT | PART 2 | null |
Citations | PageRank | References |
1 | 0.40 | 6 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Deng | 1 | 2 | 1.41 |
| Limin Wang | 2 | 11 | 3.22 |
| Jia Liu | 3 | 12 | 3.72 |
| Dandan Li | 4 | 2 | 2.09 |
| Zhongxin Chen | 5 | 67 | 18.05 |
| Qingbo Zhou | 6 | 52 | 14.55 |