| Lang Haitao,Tao Yunhong,Niu Lihui,Shi Hongji. 2020. A new scattering similarity based metric for ship detection in polarimetric synthetic aperture radar image. Acta Oceanologica Sinica, 42(5):145－150 |
| A new scattering similarity based metric for ship detection in polarimetric synthetic aperture radar image |
| 一种新的用于极化SAR图像船只检测的散射相似性测度 |
| Received:January 28, 2019 |
| DOI：10.1007/s13131-020-1563-7 |
| Key words:Pol-SAR scattering similarity KDE CFAR ship detection |
| 中文关键词: 极化合成孔径雷达 散射相似性 核密度估计 恒虚警率 船只检测 |
| 基金项目: |
| Author Name | Affiliation | E-mail | | Lang Haitao | College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China
Beijing Key Laboratory of Environmentally Harmful Chemicals Analysis, Beijing University of Chemical Technology, Beijing 100029, China | langht@mail.buct.edu.cn | | Tao Yunhong | College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China | | | Niu Lihui | College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China | | | Shi Hongji | College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China | |
|
| Hits: 890 |
| Download times: 599 |
| Abstract: |
| A new paradigm for ship detection in polarimetric synthetic aperture radar (Pol-SAR) image is presented. We firstly utilize the scattering similarity parameters to investigate the differences of scattering mechanism between ships and sea clutter. Based on these differences, we propose a novel ship detection metric, denoted as the scattering similarity based metric (SSM), to conduct ship detection task. The distribution model of SSM metric is investigated and modeled by kernel density estimation (KDE). Based on the statistical distribution, an adaptive constant false alarm rate (CFAR) detection scheme is implemented. We compare the proposed SSM with two classic polarimetric metrics, i.e., the polarimetric cross-entropy (PCE) and the reflection symmetry metric (RSM). The experimental results conducted on C-band RADARSAT-2 Pol-SAR data demonstrate the feasibility and advantage of the proposed SSM metric both in sea clutter modeling and in ship detection. |
| 中文摘要: |
| 本文提出了一种新的用于极化合成孔径雷达（SAR）海上船只目标检测的测度。首先利用散射相似性参数研究船只与海杂波散射机制的差异。基于这些差异，提出了一种新的船只检测测度，该测度能够有效区分船只目标和海杂波。然后提出了利用核密度估计（KDE）方法对该测度进行建模的方法。基于统计模型，实现了自适应恒虚警率（CFAR）的检测方案。本文利用多景C波段RADARSAT-2极化SAR（Pol-SAR）数据上进行实验，系统分析了所提出测度的海杂波拟合性能与船只检测性能，并与两个经典的极化测度进行了比较，实验和比较结果证明了所提的测度的可行性。 |
|
HTML
View Full Text
View/Add Comment Download reader |
| Close |
