Name
Abstract | ||
|---|---|---|
•Two-stream fusion CNN is proposed for pan-sharpening.•Using skip connection to compensate detail lost in down-sampling.•Demonstrate ℓ1 is more suitable for pan-sharpening than ℓ2.•Residual learning is utilized to further boost the performance. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.inffus.2019.07.010 | Information Fusion |
Keywords | Field | DocType |
Image fusion,Pan-sharpening,Convolutional neural networks,Deep learning,Remote Sensing | Iterative reconstruction,Remote sensing image fusion,Pattern recognition,Panchromatic film,Convolutional neural network,Fusion,Artificial intelligence,Fuse (electrical),Image resolution,Mathematics | Journal |
Volume | ISSN | Citations |
55 | 1566-2535 | 7 |
PageRank | References | Authors |
0.44 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiangyu Liu | 1 | 51 | 14.10 |
| Qingjie Liu | 2 | 92 | 18.60 |
| Yunhong Wang | 3 | 3816 | 278.50 |