Name
Abstract | ||
|---|---|---|
This letter proposes a precise cross-range scaling algorithm for inverse synthetic aperture radar (ISAR) images by estimating the effective rotation angle through coordinate locations of feature points extracted from two sequenced subaperture ISAR images. In the approach, we first extract adequate feature points and feature descriptor vectors from these two images by scale-invariant feature transf... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/LGRS.2014.2309604 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Feature extraction,Radar imaging,Image resolution,Imaging,Vectors,Robustness,Proposals | Remote sensing,Robustness (computer science),Artificial intelligence,Kanade–Lucas–Tomasi feature tracker,Scaling,Computer vision,Radar imaging,Feature descriptor,Pattern recognition,Feature extraction,Inverse synthetic aperture radar,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 10 | 1545-598X |
Citations | PageRank | References |
3 | 0.46 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiwei Xu | 1 | 3 | 1.47 |
| Lei Zhang | 2 | 334 | 27.73 |
| Mengdao Xing | 3 | 1340 | 162.45 |