Log-Cumulants of the Finite Mixture Model and Their Application to Statistical Analysis of Fully Polarimetric UAVSAR Data
Xinping Deng; Jinsong Chen; Hongzhong Li; Pengpeng Han; Wen Yang
刊名Geo-spatial Information Science
2018
文献子类期刊论文
英文摘要Since its first flight in 2007, the UAVSAR instrument of NASA has acquired a large number of fully Polarimetric SAR (PolSAR) data in very high spatial resolution. It is possible to observe small spatial features in this type of data, offering the opportunity to explore structures in the images. In general, the structured scenes would present multimodal or spiky histograms. And the finite mixture model has great advantages in modeling data with irregular histograms. In this paper, a type of important statistics called log-cumulants, which could be used to design parameter estimator or goodness-of-fit tests, are derived for the finite mixture model. And they are compared with log-cumulants of the texture models. The results are adopted to UAVSAR data analysis to determine which model is better for different land types.
语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/12508]  
专题深圳先进技术研究院_数字所
作者单位Geo-spatial Information Science
推荐引用方式
GB/T 7714
Xinping Deng,Jinsong Chen,Hongzhong Li,et al. Log-Cumulants of the Finite Mixture Model and Their Application to Statistical Analysis of Fully Polarimetric UAVSAR Data[J]. Geo-spatial Information Science,2018.
APA Xinping Deng,Jinsong Chen,Hongzhong Li,Pengpeng Han,&Wen Yang.(2018).Log-Cumulants of the Finite Mixture Model and Their Application to Statistical Analysis of Fully Polarimetric UAVSAR Data.Geo-spatial Information Science.
MLA Xinping Deng,et al."Log-Cumulants of the Finite Mixture Model and Their Application to Statistical Analysis of Fully Polarimetric UAVSAR Data".Geo-spatial Information Science (2018).
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