Name
Title | ||
|---|---|---|
Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification. |
Abstract | ||
|---|---|---|
The classification of hyperspectral images (HSIs) using convolutional neural networks (CNNs) has recently drawn significant attention. However, it is important to address the potential overfitting problems that CNN-based methods suffer when dealing with HSIs. Unlike common natural images, HSIs are essentially three-order tensors which contain two spatial dimensions and one spectral dimension. As a... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TGRS.2018.2860464 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Feature extraction,Hyperspectral imaging,Image classification,Convolutional neural networks,Geophysical image processing | Spatial analysis,Computer vision,Pattern recognition,Convolutional neural network,Hyperspectral imaging,Robustness (computer science),Feature extraction,Artificial intelligence,Overfitting,Spectral bands,Mathematics,Covariance | Journal |
Volume | Issue | ISSN |
57 | 2 | 0196-2892 |
Citations | PageRank | References |
7 | 0.46 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nanjun He | 1 | 42 | 3.70 |
| Mercedes Eugenia Paoletti | 2 | 41 | 3.33 |
| Juan Mario Haut | 3 | 54 | 5.33 |
| Leyuan Fang | 4 | 116 | 11.15 |
| Shutao Li | 5 | 191 | 16.15 |
| Antonio Plaza | 6 | 83 | 17.35 |
| Javier Plaza | 7 | 298 | 30.10 |