Name
Abstract | ||
|---|---|---|
The temporal evolution of the polarimetric SAR data provides an extremely valuable information source for the various applications of this data. In this paper, the evolution of the agriculture crops in the time dimension is employed for multitemporal multidimensional speckle filtering. The proposed filtering method is based on a temporal statistical criterion dependent on all elements of the covar... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JSTARS.2017.2698020 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Covariance matrices,Speckle,Synthetic aperture radar,Time series analysis,Scattering,Filtering | Computer vision,Time series,Polarimetry,Speckle pattern,Synthetic aperture radar,Remote sensing,Filter (signal processing),Pixel,Artificial intelligence,Covariance matrix,Speckle noise,Mathematics | Journal |
Volume | Issue | ISSN |
10 | 6 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 22 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maryam Salehi | 1 | 0 | 1.01 |
| Ali Mohammadzadeh | 2 | 92 | 12.11 |
| Yasser Maghsoudi | 3 | 64 | 10.26 |