Name
Title | ||
|---|---|---|
Discrimination Of Different Sources Of Signals In Permanent Scatterers Technique By Means Of Independent Component Analysis |
Abstract | ||
|---|---|---|
The analysis of multi-temporal SAR data-sets encountered large interest in the remote sensing community during the past few years. The main effort goes toward the extraction of ground displacements signals by means of differential interferometric techniques. In this operational framework an important processing step concerns the estimation and subtraction of signals due to atmospheric artifacts and processing errors. In the present work we apply the technique of Blind Source Separation (BSS) by using the algorithm of Independent Component Analysis (ICA) to Permanent Scatterer processing in order to perform the separation of different signal components. Preliminary investigations are carried out both on simulated and real ERS-1/2 data and results are reported and commented. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/IGARSS.2003.1294353 | IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES |
Keywords | DocType | Citations |
scattering,independent component analysis,power law,algorithm design and analysis,remote sensing,atmospheric modeling,blind source separation,signal processing | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabio Bovenga | 1 | 70 | 19.41 |
| Sebastiano Stramaglia | 2 | 169 | 18.42 |
| Raffaele Nutricato | 3 | 37 | 12.25 |
| Alberto Refice | 4 | 46 | 12.80 |