Name
Title | ||
|---|---|---|
Inpainting of Remote Sensing SST Images With Deep Convolutional Generative Adversarial Network. |
Abstract | ||
|---|---|---|
Cloud occlusion is a common problem in the satellite remote sensing (RS) field and poses great challenges for image processing and object detection. Most existing methods for cloud occlusion recovery extract the surrounding information from the single corrupted image rather than the historical RS image records. Moreover, the existing algorithms can only handle small and regular-shaped obnubilation... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LGRS.2018.2870880 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Generative adversarial networks,Ocean temperature,Gallium nitride,Clouds,Land surface temperature,Image color analysis,Generators | Computer vision,Object detection,Generative adversarial network,Satellite remote sensing,Remote sensing,Image processing,Inpainting,Artificial intelligence,Mathematics,Encoding (memory),Generative model,Cloud computing | Journal |
Volume | Issue | ISSN |
16 | 2 | 1545-598X |
Citations | PageRank | References |
5 | 0.57 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junyu Dong | 1 | 99 | 23.43 |
| Ruiying Yin | 2 | 7 | 0.97 |
| Xin Sun | 3 | 51 | 10.45 |
| Qiong Li | 4 | 23 | 11.77 |
| Yuting Yang | 5 | 44 | 10.79 |
| Xukun Qin | 6 | 5 | 1.25 |