Outlier-robust parameters estimation for compound-Gaussian Clutter using inverse gamma texture based on truncated moments-Reference-Cited by-同舟云学术

Outlier-robust parameters estimation for compound-Gaussian Clutter using inverse gamma texture based on truncated moments

Published:2018-11-27 Issue:3 Volume:10 Page:274-282
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Xu Shuwen¹²,Wang Le¹,Zhang Fuquan³,Shui Penglang¹

Affiliation:

1. National Lab of Radar Signal Processing and Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi’an, China

2. Department of Electrical & Computer Engineering, Mcmaster University, Hamilton, Canada

3. Department of Computer Science and Technology, College of information and sciences, NanJing Forestry University, NanJing, China

Funder

National Natural Science Foundation of China

Natural Science Basic Research Plan in Shaanxi Province of China

Young Talent fund of University Association for Science and Technology in Shaanxi

CSC visiting scholar foundation

Foreign Scholars in University Research and Teaching Programs

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2018.1547444

Reference12 articles.

1. M-estimators with asymmetric influence functions: the distribution case

2. Maximum likelihood estimation for compound-gaussian clutter with inverse gamma texture

3. M-Estimators of Roughness and Scale for-Modelled SAR Imagery

4. Geometric barycenters for covariance estimation in compound‐Gaussian clutter

5. The Cambridge Dictionary of Statistics

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