NDLI: Fast two-dimensional subset censored CFAR method for multiple objects detection from acoustic image

Content Provider	IET Digital Library
Author	Gao, Jue Li, Haisen Chen, Baowei Zhou, Tian Xu, Chao Du, Weidong
Abstract	This study addresses the detection of multiple objects in acoustic image. A fast two-dimensional (2D) subset censored constant false alarm rate (CFAR) method is proposed. The proposed method uses a multi-subset sliding window with reference cells and guard cells in 2D, and excludes the potential interference object by subset censoring. Specifically, the reference cells are equally divided into four subsets, the subset with the largest summation is censored, and the remaining subsets are used to calculate the local threshold. A fast algorithm based on integral image is employed for lowering computational load. It requires only 32 operations for a single test cell averagely, despite the total number of reference cells. The proposed method is assessed on real multi-beam acoustic image sequences, of which the background follows a distribution of Weibull. Experimental results are compared with the results acquired from the method including cell averaging CFAR and censored mean-level detector CFAR in 2D. The proposed method has been proved to be efficient and robust in multi-object environment, especially as multiple objects placed closely.
Starting Page	505
Ending Page	512
Page Count	8
ISSN	17518784
Volume Number	11
e-ISSN	17518792
Issue Number	Issue 3, Mar (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/11/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2016.0322
Journal	IET Radar, Sonar & Navigation
Publisher Date	2016-09-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2D Subset Acoustic Imaging Cell Averaging Censored Mean-level Detector Computational Load Computer Vision And Image Processing Technique Constant False Alarm Rate Method Fast Two-dimensional Subset Censored CFAR Method Guard Cell Image Sequence Integral Image Interference Object Local Threshold Multiple Objects Detection Multisubset Sliding Window Object Detection Optical, Image And Video Signal Processing Real Multibeam Acoustic Image Sequence Reference Cell Sonic And Ultrasonic Application
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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