Name
Title | ||
|---|---|---|
A Closed-Form Expression Relating Classification Accuracy to SAR System Calibration Uncertainty |
Abstract | ||
|---|---|---|
The choice of synthetic aperture radar (SAR) system design parameters such as radiometric calibration uncertainty and noise-equivalent sigma zero has a significant impact on applications exploiting SAR image data. However, methods for quantitatively translating the impact of system and mission parameter choices into the application context are lacking. This letter addresses this subject and derive... |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/LGRS.2009.2016989 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Closed-form solution,Calibration,Uncertainty,Synthetic aperture radar,Radiometry,Backscatter,Speckle,Instruments,Noise measurement,Degradation | Radiometric calibration,Computer vision,Radar imaging,Synthetic aperture radar,Remote sensing,Closed-form expression,Radiometry,Artificial intelligence,Algebraic expression,Contextual image classification,Calibration,Mathematics | Journal |
Volume | Issue | ISSN |
6 | 3 | 1545-598X |
Citations | PageRank | References |
5 | 0.84 | 4 |
Authors | ||
5 | ||