Name
Title | ||
|---|---|---|
Spatial-Temporal Super-Resolution Land Cover Mapping With a Local Spatial-Temporal Dependence Model |
Abstract | ||
|---|---|---|
The mixed pixel problem is common in remote sensing. A soft classification can generate land cover class fraction images that illustrate the areal proportions of the various land cover classes within pixels. The spatial distribution of land cover classes within each mixed pixel is, however, not represented. Super-resolution land cover mapping (SRM) is a technique to predict the spatial distributio... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TGRS.2019.2894773 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Spatial resolution,Remote sensing,Adaptation models,Graphical models,Distribution functions,Forestry | Ancillary data,Remote sensing,Pixel,Spatial variability,Graphical model,Image resolution,Land cover,Spatial ecology,Mathematics,Spatial distribution | Journal |
Volume | Issue | ISSN |
57 | 7 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaodong Li | 1 | 171 | 16.82 |
| Feng Ling | 2 | 209 | 21.29 |
| F. Ling | 3 | 9 | 3.40 |
| Yong Ge | 4 | 21 | 8.31 |
| Yihang Zhang | 5 | 86 | 8.80 |
| Lihui Wang | 6 | 5 | 3.54 |
| Lingfei Shi | 7 | 6 | 1.53 |
| XinYan Li | 8 | 3 | 5.17 |
| Yun Du | 9 | 153 | 16.11 |