Abstract Seafloor terrain and water column target detection is of great significance in marine surveys. However, the complex clutter environment can dramatically affect the detection performance of a multi-beam echo sounder. To simultaneously and robustly detect the seafloor terrains and water column targets, this paper proposes a fast two-dimensional double selectivity index-constant false alarm rate (DSI-CFAR) detection method. A two-dimensional cross sliding window, which includes reference cells and guard cells, is used in this paper. The proposed method improves the detection performance by using the appropriate clutter power level estimation strategies in different directions. An exponential model is accurately built by fitting various distributions, so the DSI-CFAR detection performance is greatly ameliorated. To reduce the computational load of the method, this paper uses a fast algorithm based on the global threshold. The region of interest (ROI) is selected by the preset global threshold, and the DSI-CFAR detector is only performed in the region of interest, which significantly reduces the number of pixels that must be calculated. In this paper, the measured results of different sliding windows and CFAR detection methods validate the basic performance of the proposed method.

中文翻译：

---

多波束测深仪的快速双选择性指数-CFAR检测方法

摘要 海底地形和水柱目标检测在海洋调查中具有重要意义。然而，复杂的杂波环境会极大地影响多波束回声测深仪的检测性能。为了同时稳健地检测海底地形和水柱目标，本文提出了一种快速二维双选择性指数常数误报率（DSI-CFAR）检测方法。本文采用二维交叉滑动窗口，包括参考单元和保护单元。所提出的方法通过在不同方向上使用适当的杂波功率电平估计策略来提高检测性能。通过拟合各种分布准确建立指数模型，大大提高了DSI-CFAR检测性能。为了减少该方法的计算量，本文采用了一种基于全局阈值的快速算法。通过预设的全局阈值选择感兴趣区域（ROI），DSI-CFAR检测器只在感兴趣区域进行，显着减少了必须计算的像素数量。在本文中，不同滑动窗口和CFAR检测方法的测量结果验证了所提出方法的基本性能。