UNIFIED PHENOMENOLOGICAL DECOMPOSITION OF RADAR TARGETS
文献类型：会议论文
| 作者 | Li, Dong; Zhang, Yunhua
|
| 出版日期 | 2016 |
| 会议名称 | 36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
| 会议日期 | JUL 10-15, 2016 |
| 会议地点 | Beijing, PEOPLES R CHINA |
| 关键词 | Huynen decomposition radar polarimetry target decomposition unified target dichotomy |
| 页码 | 4679-4682 |
| 通讯作者 | Li, D (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100864, Peoples R China. |
| 英文摘要 | Huynen phenomenological decomposition as the first formalized target decomposition has not been widely accepted. Huynen's preference for scattering symmetry and regularity restricts not only the application of this decomposition but also its unification with other target dichotomies such as the Barnes-Holm decomposition and Yang decomposition. The non-uniqueness issue then arises because we may have different dichotomies of radar targets, but we have no idea on how to select them. Recently, a unified Huynen dichotomy was developed by Li and Zhang to extend Huynen decomposition for a full preference for symmetry and regularity, non-symmetry, irregularity, as well as their couplings. The dichotomy covers all the existing dichotomies and provides an excellent discrimination of radar targets. This paper gives a concise review of the Huynen-type target dichotomies to investigate the existing concerns influencing the application of such decompositions and the corresponding coping methods. We hope this review will help to promote the wide acceptation of Huynen-type target dichotomies in the future. |
| 收录类别 | CPCI |
| 会议录 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
 |
| 语种 | 英语 |
| ISSN号 | 2153-6996 |
| ISBN号 | 978-1-5090-3332-4 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/5765]  |
| 专题 | 国家空间科学中心_微波遥感部 |
| 推荐引用方式 GB/T 7714 | Li, Dong,Zhang, Yunhua. UNIFIED PHENOMENOLOGICAL DECOMPOSITION OF RADAR TARGETS[C]. 见:36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Beijing, PEOPLES R CHINA. JUL 10-15, 2016. |
入库方式： OAI收割
来源：国家空间科学中心
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