Name
Title | ||
|---|---|---|
Affine Invariant Description and Large-Margin Dimensionality Reduction for Target Detection in Optical Remote Sensing Images. |
Abstract | ||
|---|---|---|
A novel target detection method based on affine invariant interest point detection, feature encoding, and large-margin dimensionality reduction (LDR) is proposed for optical remote sensing images. First, four types of interest point detectors are introduced, and their performance in extracting low-level affine invariant descriptors using affine shape estimation is compared. Such a description can ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LGRS.2017.2699329 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Feature extraction,Object detection,Shape,Aircraft,Image coding,Detectors,Military aircraft | Affine transformation,Affine shape adaptation,Harris affine region detector,Dimensionality reduction,Interest point detection,Remote sensing,Hessian affine region detector,Artificial intelligence,Object detection,Computer vision,Pattern recognition,Feature extraction,Mathematics | Journal |
Volume | Issue | ISSN |
14 | 7 | 1545-598X |
Citations | PageRank | References |
3 | 0.39 | 23 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lihong Wan | 1 | 12 | 3.54 |
| Laiwen Zheng | 2 | 9 | 1.15 |
| Hong Huo | 3 | 126 | 17.77 |
| Tao Fang | 4 | 226 | 31.10 |