Name
Abstract | ||
|---|---|---|
A new and efficient classification model is introduced in this paper. The proposed model enjoys the information of null space of within-class and range space of within-class. And the proposed model aims at defining a reliable spatial analysis criterion for the remote sensing image, taking advantage of the differences in different areas. Finally, by incorporating fisher linear discriminant analysis and support vector machine (or K-nearest neighbor) classifier among image pixels, the model obtained more accurate classification results. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s11063-015-9447-0 | Neural Processing Letters |
Keywords | DocType | Volume |
Remote sensing image,Projection matrix,Support vector machine,Image classification,Kernel method,68T10,68U10 | Journal | 43 |
Issue | ISSN | Citations |
3 | 1370-4621 | 8 |
PageRank | References | Authors |
0.48 | 33 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian-qiang Gao | 1 | 61 | 5.12 |
| Xu Lizhong | 2 | 155 | 24.51 |