Name
Title | ||
|---|---|---|
Preliminary exploration of introducing spatial correlation information into the probabilistic patch-based similarity measure |
Abstract | ||
|---|---|---|
The probabilistic patch-based similarity measure (PPBSM) is a deeply studied and widely used method for synthetic aperture radar (SAR) image processing and understanding. Considering its performance limitation, we propose a preliminary exploration of integrating the spatial correlation information into the PPBSM, and design a refined method for SAR image change detection. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/Multi-Temp.2017.8035223 | 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp) |
Keywords | Field | DocType |
spatial correlation information,probabilistic patch based similarity measure,synthetic aperture radar image processing,SAR image change detection | Computer vision,Change detection,Spatial correlation,Similarity measure,Speckle pattern,Synthetic aperture radar,Image processing,Inverse synthetic aperture radar,Artificial intelligence,Probabilistic logic,Geography | Conference |
ISBN | Citations | PageRank |
978-1-5386-3328-1 | 0 | 0.34 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| hao hu | 1 | 48 | 9.49 |
| Bin Liu | 2 | 191 | 35.02 |
| Weiwei Guo | 3 | 17 | 7.50 |
| Zenghui Zhang | 4 | 50 | 10.29 |
| Wenxian Yu | 5 | 329 | 43.89 |