Name
Title | ||
|---|---|---|
Hyperspectral Image Classification With Discriminative Kernel Collaborative Representation and Tikhonov Regularization. |
Abstract | ||
|---|---|---|
Recently, collaborative representation has received much attention in the hyperspectral image (HSI) classification due to its simplicity and effectiveness. However, the existing collaborative representation-based HSI classification methods ignore the correlation among different classes. To overcome this problem, we propose a discriminative kernel collaborative representation and Tikhonov regulariz... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LGRS.2018.2800080 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Kernel,Training,Collaboration,Correlation,Optimization,Hyperspectral imaging | Tikhonov regularization,Kernel (linear algebra),Spatial analysis,Computer vision,Feature vector,Pattern recognition,Hyperspectral imaging,Regularization (mathematics),Artificial intelligence,Kernel method,Discriminative model,Mathematics | Journal |
Volume | Issue | ISSN |
15 | 4 | 1545-598X |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
5 | ||