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	Statistical Analysis of Polarimetric SAR Data Using Log-cumulants
	Xinping Deng; Jinsong Chen; Hongzhong Li; Luyi Sun
	2017
会议日期	2017
会议地点	Beijing
英文摘要	Introducing knowledge of the statistical properties could improve the performance of PolSAR data applications such as speckle filtering, land-use analysis, ground cover classification. As the successful launch of the most advanced Polarimetric SAR (PolSAR) instruments including RadarSat-2, TerraSAR-X, ALOS-2, Sentinel-1, and GF3, we are faced with a vast volume of high resolution PolSAR data. To extract statistical information from the big SAR data accurately and efficiently, some simple but effective statistics are in need. It is reported that the log-cumulants are useful for PolSAR data analysis, and we can use them to design estimators for distribution parameters with low bias and variance. In this paper, log-cumulants of different statistical models are compared in a graphic manner to determine the most suitable model for different land types.
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12648]
专题	深圳先进技术研究院_数字所
作者单位	2017
推荐引用方式 GB/T 7714	Xinping Deng,Jinsong Chen,Hongzhong Li,et al. Statistical Analysis of Polarimetric SAR Data Using Log-cumulants[C]. 见:. Beijing. 2017.

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