Name
Title | ||
|---|---|---|
Spatially and Temporally Weighted Regression: A Novel Method to Produce Continuous Cloud-Free Landsat Imagery. |
Abstract | ||
|---|---|---|
Due to serious cloud contamination in optical satellite images, it is hard to acquire continuous cloud-free satellite observations, which limits the potential utilization of the available images and further data extraction and analysis. Thus, information reconstruction in cloud-contaminated images and the reprocessing of continuous cloud-free images are urgently needed for global change science. M... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TGRS.2016.2580576 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Clouds,Earth,Remote sensing,Satellites,Image restoration,Optical sensors,Optical imaging | Computer vision,Satellite,Reference image,Remote sensing,Unit-weighted regression,Data extraction,Invariant (mathematics),Pixel,Artificial intelligence,Image restoration,Mathematics,Cloud computing | Journal |
Volume | Issue | ISSN |
55 | 1 | 0196-2892 |
Citations | PageRank | References |
6 | 0.47 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Chen | 1 | 42 | 4.93 |
| Bo Huang | 2 | 546 | 36.79 |
| Lifan Chen | 3 | 18 | 1.72 |
| Bin Xu | 4 | 133 | 23.23 |