Name
Title | ||
|---|---|---|
Goodness-of-Fit Tests for Multilook Polarimetric Radar Data Based on the Mellin Transform. |
Abstract | ||
|---|---|---|
The advent of polarimetric synthetic aperture radar has spurred a growing interest in statistical models for complex-valued covariance matrices, which is the common representation of multilook polarimetric radar images. In this paper, we respond to an emergent need by proposing statistical tests for the simple and composite goodness-of-fit (GoF) problem for a class of compound matrix distributions... |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TGRS.2010.2104158 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Covariance matrix,Data models,Radar polarimetry,Radar imaging,Scattering,Synthetic aperture radar | Sampling distribution,Mellin transform,Synthetic aperture radar,Artificial intelligence,Computer vision,Radar imaging,Test statistic,Algorithm,Statistical model,Covariance matrix,Statistics,Goodness of fit,Mathematics | Journal |
Volume | Issue | ISSN |
49 | 7 | 0196-2892 |
Citations | PageRank | References |
22 | 1.33 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stian Normann Anfinsen | 1 | 255 | 20.55 |
| Anthony Paul Doulgeris | 2 | 116 | 11.14 |
| Torbjørn Eltoft | 3 | 583 | 48.56 |