Name
Title | ||
|---|---|---|
Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection |
Abstract | ||
|---|---|---|
•Adaptive Dimensionality Reduction for the selection of relevant spectral bands.•Selecting the most relevant spectral bands using limited number of training samples.•Semi Supervised 3D Convolutional Neural Network for image classification.•Extracting deep spectral and spatial features based on convolutional encoder-decoder.•Enhancing image classification compared to well-established deep learning methods. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2019.04.006 | Expert Systems with Applications |
Keywords | Field | DocType |
Hyperspectral imagery classification,Convolutional neural network (CNN),Adaptive dimensionality reduction,Deep learning | Dimensionality reduction,Computer science,Convolutional neural network,Hyperspectral imaging,Curse of dimensionality,Artificial intelligence,Deep learning,Artificial neural network,Classifier (linguistics),Discriminative model,Machine learning | Journal |
Volume | ISSN | Citations |
129 | 0957-4174 | 6 |
PageRank | References | Authors |
0.48 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sellami, A. | 1 | 6 | 2.51 |
| Farah, M. | 2 | 14 | 5.37 |
| Imed Riadh Farah | 3 | 86 | 26.16 |
| Basel Solaiman | 4 | 127 | 35.05 |