极化SAR图像目标分解方法的研究进展

张腊梅; 段宝龙; 邹斌

doi:10.11999/JEIT160992

极化SAR图像目标分解方法的研究进展

doi: 10.11999/JEIT160992

基金项目:

国家自然科学基金(61401124)，黑龙江省博士后科研启动基金(LBH-Q13069)

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- 被引次数: 0
出版历程
- 收稿日期: 2016-09-29
- 修回日期: 2016-11-14
- 刊出日期: 2016-12-19

Research Development on Target Decomposition Method of Polarimetric SAR Image

Funds:

The National Natural Science Foundation of China (61401124), The Postdoctoral Scientific Research Developmental Foundation of Heilongjiang Province (LBH- Q13069)

摘要

摘要: 极化合成孔径雷达(极化SAR)经过近几年的迅速发展，已经成为遥感领域的一大研究热点。极化目标分解作为极化SAR图像分析的一种基本手段，所提取的极化信息是极化SAR图像目标检测和分类的基础，在极化SAR图像解译中起着关键作用。通过对近几年极化目标分解方法的发展作一个全面的阐述，重点介绍该领域出现的新技术，使相关研究人员能够更清晰地了解这一领域的最新进展。
- 极化合成孔径雷达 /
- 特征提取 /
- 极化目标分解
Abstract: Polarimetric Synthetic Aperture Radar (Polarimetric SAR) has become a hot research topic in the field of remote sensing with the rapid development in recent years. Polarimetric target decomposition is a basic method for Polarimetric SAR image analysis, and plays a key role in Polarimetric SAR image interpretation, the extracted features from polarimetric target decomposition is the basis of target detection and image classification using Polarimetric SAR image. In this paper, through expositing the development of polarimetric target decomposition as well as the new technologies in recent years comprehensively, the relevant researchers can understand the latest progress in this field clearly.
- Polarimetric SAR /
- Feature extraction /
- Polarimetric target decomposition

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