一种基于小波变换的SAR图像船舰监测新算法

A new algorithm for ship image monitoring of sar images based on wavelet transform

船舶图像监测技术对于船舶的运行安全有着非常重要的作用,特别是在航道管理、船舶避碰、状态检测等领域,通过分析传感器采集的数据,可以获得非常多有用的信息。本文主要结合先进的SAR算法,通过小波变换对图像的有用信息进行过滤,提高了船舶图像的识别率。首先,对小波变换理论和SAR识别算法进行了原理阐述,然后对图像进行数字建模,提取出其中的有效矩阵信息,通过对特征数据进行互补和冗余信息,提高了系统的识别性能,在数据处理时,由于存在外部噪声干扰的问题,所以需要加入去噪声滤波算法。

Ship image monitoring technology plays an important role in the safety of ship operation, especially in the fields of waterway management, ship collision avoidance, state detection and so on. By analyzing the data collected by the sensor, we can get a lot of useful information. In this paper, the advanced SAR algorithm is used to filter the useful information of the image by wavelet transform, which improves the recognition rate of the ship image. Firstly, the wavelet transform theory and SAR recognition algorithm are described in detail. Then, the image is modeled and the effective matrix information is extracted. Through the complementary and redundant information of the feature data, the recognition performance of the system is improved, In the data processing, due to the existence of external noise interference problems, it is necessary to add a de-noising filter algorithm.