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Sea-Surface Floating Small Target Detection by Multifeature Detector Based on Isolation Forest by Shuwen Xu; Jianan Zhu; Junzheng Jiang; Penglang Shui is a Engineering article available to read on EtoBox.

What is Sea-Surface Floating Small Target Detection by Multifeature Detector Based on Isolation Forest about?

In this paper, a multi-feature detector based on isolation forest (iForest) algorithm is developed to detect floating small targets in sea clutter. The conventional multi-feature detector can only process three features or less. The proposed detector aims to break the limitation of feature dimensions' number of the existed feature-based detectors and to improve the detection performance. It transforms the detection of floating small target into an anomaly detection problem in a high-dimensional feature space, breaking the limitation of the number of features. Firstly, a modified isolation forest is constructed from multiple features extracted from sea clutter. Meanwhile, the relative Doppler coefficient of variation (RCV) is proposed and added into the feature library. Then, taking the average path length as detection statistic, the detection threshold is obtained by Monte-Carlo technique at the given false alarm probability (PFA). Finally, the final decision is made by comparing the path length calculated from the cell under test (CUT) of radar returns with the detection threshold. Detection performances are evaluated based on twenty measured IPIX radar data sets. The experiment r

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Author

Shuwen Xu; Jianan Zhu; Junzheng Jiang; Penglang Shui

Publisher

Institute of Electrical and Electronics Engineers; Institute of Electrical and Electronics Engineers (IEEE) (ISSN 1939-1404)

Published

2021

Language

EN

Field

Engineering (Physical Sciences)