Target detection in maritime search and rescue using SVD and frequency domain characteristics

Lei Ren, C. Shi, Xin Ran
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引用次数: 2

Abstract

A target detection method based on SVD and frequency domain characteristics in maritime search and rescue is proposed. The method can select maritime search and rescue targets from textured sea scenes. Firstly, intensity component is obtained and is decomposed using SVD. The first 80% singular components are combined to represent the dominant pattern of input image. Secondly, spectral residual approach and phase spectrum approach are applied to the difference between intensity component and corresponding dominant pattern. The resulting saliency maps show the salient region in maritime search and rescue visual scene and there by target detection performed.
基于奇异值分解和频域特征的海上搜救目标检测
提出了一种基于奇异值分解和频域特征的海上搜救目标检测方法。该方法可以从纹理化的海上场景中选择海上搜救目标。首先,提取强度分量,利用奇异值分解进行分解;将前80%的奇异分量组合起来表示输入图像的主导模式。其次,采用谱残差法和相谱法对强度分量与对应优势方向图的差值进行分析。所得到的显著性图显示了海上搜救视觉场景中的显著区域,并在那里进行了目标检测。
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