基于改进小波变换的海上目标检测

为提高弹道导弹打击舰船的命中精度，研究分析弹载合成孔径雷达的海上目标检测具有重大意义。针对基于传统小波变换的检测算法在相干噪声下难以快速实现目标检测的问题，提出基于改进小波变换的检测模型。首先，利用方向可调的小波函数改进传统小波变换，在提高检测精度的情况下，可避免进行非极大值抑制；其次，重点针对方向小波变换运算复杂的问题，从算法原理和实际应用两方面着手，分别构造可变方向角和掩模矩阵，减少了运算量；然后，在此基础上利用高低帽滤波和闭运算的组合处理，增强边缘区分度，即可通过二值化处理完成目标检测；最后，以舰船的目标检测为例，从检测精度和运算时间两方面验证改进模型的有效性。

Marine target detection based on improved wavelet transform

In order to improve the accuracy of ballistic missile against ships, it is of great significance to study and analyze the sea targets detection of the missile-borne synthetic aperture radar. Aiming at the problem that the detection algorithm based on the traditional wavelet transform is difficult to quickly realize edge detection under coherent noise, a detection model based on the improved wavelet transform is proposed. Firstly, the traditional wavelet transform is improved by using the directional adjustable wavelet function, and non-maximum suppression can be avoided under the condition of improving the detection accuracy. Then, aiming at the complex operation of the azimuth wavelet transform, the variable azimuth angle and mask matrix are constructed respectively from two aspects of algorithm principle and engineering application to reduce the computation. On this basis, the combined processing of high and low hat filtering and closed operation is used to enhance edge discrimination, and the target detection can be completed through binarization processing. Finally, taking the ship target detection as an example, the validity of the improved model is verified from the aspects of detection accuracy and operation time.