Name
Title | ||
|---|---|---|
Multi-scale Features Fusion Network for Unsupervised Change Detection in Heterogeneous Optical and SAR Images |
Abstract | ||
|---|---|---|
Change detection (CD) in heterogeneous remote sensing image applications has become an issue of increasing concern in, as they cannot be compared directly with traditional homogenous CD methods. To solve feature loss problem and generating better representations to accommodate regions of various sizes in heterogeneous images CD, a multi-scale features fusion network (MFFN) is proposed. Firstly, mu... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CCIS53392.2021.9754667 | 2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS) |
Keywords | DocType | ISBN |
Semantics,Radar detection,Radar,Radar imaging,Feature extraction,Optical imaging,Radar polarimetry | Conference | 978-1-6654-4149-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiao Shi | 1 | 3 | 1.37 |
| Zeping Zhang | 2 | 0 | 0.68 |
| Tancheng Wu | 3 | 0 | 0.34 |
| Xiaoyang Li | 4 | 0 | 0.34 |
| Deyun Zhou | 5 | 0 | 1.69 |
| Yu Lei | 6 | 3 | 1.04 |