Name
Title | ||
|---|---|---|
New Feature Selection Methods Using Sparse Representation for One-Class Classification of Remote Sensing Images |
Abstract | ||
|---|---|---|
In this letter, we proposed two novel feature selection methods using sparse representation for one-class classification of remote sensing images. In the first method, a sparse reconstructive weight matrix of the data set was obtained by reconstructing samples using sparse representation. The “good” features were then selected by evaluating reconstructing errors in weight matrix. The method is cal... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LGRS.2020.3006830 | IEEE Geoscience and Remote Sensing Letters |
Keywords | DocType | Volume |
Feature extraction,Training,Sparse matrices,Image reconstruction,Hyperspectral imaging | Journal | 18 |
Issue | ISSN | Citations |
10 | 1545-598X | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benqin Song | 1 | 0 | 0.34 |
| Peijun Li | 2 | 81 | 9.08 |
| Xiuping Jia | 3 | 1424 | 126.54 |