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Improvement research on texture-detection in full-polarization SAR image filter
- Source :
- IGARSS
- Publication Year :
- 2004
- Publisher :
- IEEE, 2004.
-
Abstract
- The Polarimetric Whitening Filter (PWF) method for speckle reduction in polarimetric synthetic aperture radar (SAR) is stated with some traditional covariance matrix parameter estimate methods. Aimed at their defects in parameter estimation, an enhanced auto-adaptive edge-detection method for parameter estimating is presented. Because of the lack of point target and line detection in the above-mentioned methods, a new parameter estimation method is then introduced. Finally, results of the above-mentioned methods applied in PWF are submitted. Detail analyses and comparisons are also given. It is proved that the new parameter estimation method is the most robust.
- Subjects :
- Synthetic aperture radar
Radar tracker
Computer science
Speckle reduction
business.industry
Covariance matrix
Polarimetry
Speckle noise
Side looking airborne radar
Composite image filter
Inverse synthetic aperture radar
Continuous-wave radar
Radar engineering details
Image texture
Radar imaging
Computer vision
Artificial intelligence
business
Point target
Algorithm
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)
- Accession number :
- edsair.doi...........63e910d8fd345bf45d60467bb527af6b