Name
Title | ||
|---|---|---|
Unsupervised Band Selection Method Based on Importance-Assisted Column Subset Selection. |
Abstract | ||
|---|---|---|
Band selection is an important preprocessing technique for hyperspectral images to select a band subset with representative information and low correlation. However, most methods focus on removing redundant components without loss of original information, but not distinguishing the noisy and low-discriminating bands which must be manually removed in advance. To find high-discriminating and high-qu... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ACCESS.2018.2885545 | IEEE Access |
Keywords | Field | DocType |
Hyperspectral imaging,Indexes,Correlation,Noise measurement,Feature extraction,Training | Noise measurement,Pattern recognition,Computer science,Euclidean distance,Feature extraction,Hyperspectral imaging,Curse of dimensionality,Redundancy (engineering),Preprocessor,Artificial intelligence,Cube,Distributed computing | Journal |
Volume | ISSN | Citations |
7 | 2169-3536 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoyan Luo | 1 | 38 | 10.60 |
| Zhiqi Shen | 2 | 1148 | 82.57 |
| Rui Xue | 3 | 22 | 6.49 |
| Han Wan | 4 | 28 | 10.98 |