Name
Abstract | ||
|---|---|---|
Thermal infrared (TIR) imaging has been an indispensable tool in surveillance and remote sensing fields due to the characteristic of this spectrum that enables the sensing system to detect relatively warm targets, especially in low-light conditions. However, the acquired TIR images often suffer from observable stripe noise, which reduces the target detectability to some extent. To remove the noise... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/LGRS.2019.2938822 | IEEE Geoscience and Remote Sensing Letters |
Keywords | DocType | Volume |
Visualization,Remote sensing,Indexes,Smoothing methods,Object detection,Thermal noise,Imaging | Journal | 17 |
Issue | ISSN | Citations |
6 | 1545-598X | 1 |
PageRank | References | Authors |
0.36 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingjie Zeng | 1 | 2 | 1.73 |
| Hanlin Qin | 2 | 1 | 0.70 |
| Xiang Yan | 3 | 66 | 17.39 |
| Huixin Zhou | 4 | 14 | 4.24 |