General adaptive-neighborhood technique for improving synthetic aperture radar interferometric coherence estimation.
- 1 August 2004
- journal article
- Published by Optica Publishing Group in Journal of the Optical Society of America A
- Vol. 21 (8), 1455-1464
- https://doi.org/10.1364/josaa.21.001455
Abstract
A new method for filtering the coherence map issued from synthetic aperture radar (SAR) interferometric data is presented. For each pixel of the interferogram, an adaptive neighborhood is determined by a region-growing technique driven by the information provided by the amplitude images. Then pixels in the derived adaptive neighborhood are complex averaged to yield the filtered value of the coherence, after a phase-compensation step is performed. An extension of the algorithm is proposed for polarimetric interferometric SAR images. The proposed method has been applied to both European Remote Sensing (ERS) satellite SAR images and airborne high-resolution polarimetric interferometric SAR images. Both subjective and objective performance analysis, including coherence edge detection, shows that the proposed method provides better results than the standard phase-compensated fixed multilook filter and the Lee adaptive coherence filter.Keywords
This publication has 14 references indexed in Scilit:
- DTM extraction of Lidar returns via adaptive processingIEEE Transactions on Geoscience and Remote Sensing, 2003
- Filtering noise in color images using adaptive-neighborhood statisticsJournal of Electronic Imaging, 2000
- The structure of oriented vegetation from polarimetric interferometryIEEE Transactions on Geoscience and Remote Sensing, 1999
- Coherence estimation for SAR imageryIEEE Transactions on Geoscience and Remote Sensing, 1999
- Adaptive-neighborhood filtering of images corrupted by signal-dependent noiseApplied Optics, 1998
- Polarimetric SAR interferometryIEEE Transactions on Geoscience and Remote Sensing, 1998
- Fringe detection in noisy complex interferogramsApplied Optics, 1996
- Image restoration by adaptive-neighborhood noise subtractionApplied Optics, 1994
- Feature enhancement of film mammograms using fixed and adaptive neighborhoodsApplied Optics, 1984
- Refined filtering of image noise using local statisticsComputer Graphics and Image Processing, 1981