Name
Title | ||
|---|---|---|
Hyperspectral Band Selection for Multispectral Image Classification with Convolutional Networks |
Abstract | ||
|---|---|---|
In recent years, Hyperspectral Imaging (HSI) has become a powerful source for reliable data in applications such as remote sensing, agriculture, and biomedicine. However, hyperspectral images are highly data-dense and often benefit from methods to reduce the number of spectral bands while retaining the most useful information for a specific application. We propose a novel band selection method to ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IJCNN52387.2021.9533700 | 2021 International Joint Conference on Neural Networks (IJCNN) |
Keywords | DocType | ISSN |
Redundancy,Information filters,Feature extraction,Convolutional neural networks,Reliability,Object recognition,Information entropy | Conference | 2161-4393 |
ISBN | Citations | PageRank |
978-1-6654-3900-8 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giorgio Morales | 1 | 2 | 1.77 |
| John Sheppard | 2 | 7 | 1.31 |
| Riley Logan | 3 | 0 | 0.34 |
| Joseph A. Shaw | 4 | 4 | 2.37 |