Statistical Modeling of Sea Clutter in High-Resolution SAR Images Using Generalized Gamma Distribution
Statistical modeling of sea clutter in synthetic aperture radar (SAR) imagery is fundamental for SAR image interpretation.In this paper,we adopt a recently proposed generalized gamma distribution (GГD) for modeling sea clutter in high-resolution SAR images.Based on parameter decoupling,an estimator of GГD,named as scale-independent scale estimation (SISE),is derived,which only refers to several basic operations and can be easily realized.Modeling experiments are carried out over the L-band polarimetric SAR images acquired by JPL/AIRSAR and a VV-polarized C-band TerraSAR-X SAR image.Experimental results show that the advantage of GГD for modeling sea clutter in high-resolution SAR images is evident comparing to the classic distributions of sea clutter in SAR images including the Weibull,Log-normal and K distributions.
statistical modeling generalized gamma distribution (GГD) synthetic aperture radar (SAR) sea clutter scale-independent shape estimation (SISE)
Xianxiang Qin Shilin Zhou Huanxin Zou Gui Gao
School of Electronic Science and Engineering National University of Defense Technology Changsha 410073,PR China
国际会议
厦门
英文
1-5
2012-12-16（万方平台首次上网日期，不代表论文的发表时间）