Statistical Modeling of Polarimetric SAR Data: A Survey and Challenges.
文献类型：期刊论文
| 作者 | Xinping Deng; Carlos López-Martínez; Jinsong Chen; Pengpeng Han. |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Knowledge of the exact statistical properties of the signal plays an important role in the applications of Polarimetric Synthetic Aperture Radar (PolSAR) data. In the last three decades, a considerable research effort has been devoted to finding accurate statistical models for PolSAR data, and a number of distributions have been proposed. In order to see the differences of various models and to make a comparison among them, a survey is provided in this paper. Texture models, which could capture the non-Gaussian behavior observed in high resolution data, and yet keep a compact mathematical form, are mainly explained. Probability density functions for the single look data and the multilook data are reviewed, as well as the advantages and applicable context of those models. As a summary, challenges in the area of statistical analysis of PolSAR data are also discussed. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12499]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | REMOTE SENSING |
| 推荐引用方式 GB/T 7714 | Xinping Deng,Carlos López-Martínez,Jinsong Chen,et al. Statistical Modeling of Polarimetric SAR Data: A Survey and Challenges.[J]. REMOTE SENSING,2017. |
| APA | Xinping Deng,Carlos López-Martínez,Jinsong Chen,&Pengpeng Han..(2017).Statistical Modeling of Polarimetric SAR Data: A Survey and Challenges..REMOTE SENSING. |
| MLA | Xinping Deng,et al."Statistical Modeling of Polarimetric SAR Data: A Survey and Challenges.".REMOTE SENSING (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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