Application of AdaBoost in Polarimetric SAR Image Classification

被引：0
|
作者：
Min, Rui [1 ]
Yang, Xiaobo [1 ]
Zhao, Zhiqin [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 610054, Peoples R China
来源：
2009 IEEE RADAR CONFERENCE, VOLS 1 AND 2 | 2009年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a method of polarimetric SAR image classification based on polarimetric decomposition and AdaBoost algorithm is proposed. The proposed method improves classification accuracy and speed. AdaBoost algorithm, as a robust learner with high accuracy, can fully utilize the polarimetric features to achieve image classification. In simulated tests, the proposed method is observed to produce improved classification accuracy and speed, compared with H/(alpha) over bar classification algorithm.
引用
收藏
页码：892 / 895
页数：4
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