用于被动声学探测和跟踪的洪水填充算法

E. Nosal
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引用次数: 52

摘要

在绘制程序的ldquobucket - dquo工具中使用洪水填充算法对位图的连接部分进行颜色填充。它们在多维数组中建立连接到给定节点的区域。本文概述了递归洪水填充算法的实现。如果两个元素之间存在一条路径,并且所有元素的值超过给定节点和阈值的某个阈值,则将它们定义为连接的。对连接到感兴趣的节点的所有元素递归地执行填充操作。本文探讨了被动声监测的两种应用:(1)利用二维(频率和时间)洪水填充技术检测信号;(2)通过四维(x、y、z和时间)洪水填充对源位置似然体积进行源跟踪(使用一种定位算法获得,该算法给出源在时间和空间上占据某一点的似然)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flood-fill algorithms used for passive acoustic detection and tracking
Flood-fill algorithms are used in the ldquobucketrdquo tool of paint programs to fill connected parts of a bitmap with color. They establish the area connected to a given node in a multi-dimensional array. This paper outlines the implementation a recursive flood-fill algorithm. Two elements are defined as connected if a path exists between them along which the value of all elements exceeds some threshold for a given node and threshold. The flood-fill is performed recursively on all elements connected to the node of interest. Two applications for passive acoustic monitoring are explored: (1) Signal detection via two-dimensional (frequency and time) flood-fill applied to spectrograms; (2) Source tracking via four-dimensional (x, y, z, and time) flood-fill applied to source position likelihood volumes (obtained using a localization algorithm that gives the likelihood of a source occupying a point in time and space).
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