research-article

A Weak Target Enhancement Method in the Bearing Time Recording

Author:

Jianfeng TaoAuthors Info & Claims

ICDSP '19: Proceedings of the 2019 3rd International Conference on Digital Signal Processing

Pages 1 - 6

https://doi.org/10.1145/3316551.3316552

Published: 24 February 2019 Publication History

Abstract

A method which combines a new image detection operator with one dimensional subsection histogram equalization(NIDO-ODSHE) is proposed to deal with the problem that the target cannot be better detected on the time recording due to the influence of environmental noise, disturbance and so on. Firstly, slide detections of a target trajectory is carried out based on beam data using the new image detection operator. Then the detected data is processed by the adaptive subsection histogram equalization, and the new time recording is finally obtained. After such a treatment, the processed image gets better gain, the image clarity is obviously improved, and the weak target trajectory is significantly enhanced. Moreover, the NIDO-ODSHE method does not need parameter setting and the computational amount is small. Simulation and experimental results on a time recording of and comparisons with the histogram equalization show that the NIDO-ODSHE method can enhance the weak target on a time recording and improve the artificial/automatic detection ability of weak targets, the proposed method obviously improves the image, and increases the mean squared error ratio and the image clarity more than 12% and 6%, respectively.

References

[1]

RICHARD O. Nielson sonar signal processing. Boston: Artech House, 1999:231--257.

Digital Library

[2]

YUAN Yany, JIANG Xiaoyong. Noise normalization technique in lofar processing. Technical Acoustics, 2012, 31(3):300--303.

[3]

LI Qihu, PAN Xuebao, YIN Li. A new algorithm of background equalization. ACTA ACUSTICA, 2000, 25(1):5--9.

[4]

WANG Xiaoyu, YANG Yixing. A new background equalization algorithm in beam space of broadband sonar. Ship & Ocean Engineering, 2009, 38(5):181--185.

[5]

BRUNO M S, MOURA J F. Multi frame detector tracker: optimal performance. IEEE Transactionson Aerospace and Electronic Systems, 2001, 37(3): 925--945.

[6]

TZANANNES A P, Brooks D H. Detecting small moving objects using temporal hypothesis testing. IEEE Transactions on Aerospace and ElectronicSystems. 2002, 38(2):570--585.

[7]

REED I S, GAGLIARDI R M, STOTTS L. Optical moving target detection with 3-D matched filtering. IEEE Transactions on Aerospace and ElectronicSystems, 1988, 24(4):327--335.

[8]

CAPRARO C T, CAPRARO R T. Wicks M C. Knowledge aided detection and tracking. Proceedings of IEEE National Radar Conference.Piscataway, NJ, USA: IEEE, 2007:352--356.

[9]

EHRMAN L M, BLARIR W D, Using target RCS tracking multiple rayleigh targets. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(2):701--716.

[10]

GROSSI E, L OPS M, VENTURINO L. Track-before-detect for multi-frame detection with censored observations. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(3):2032--2046.

[11]

RAO Bin, ZONG Zhiwei, NIE Yuanping. Trackbefore detect of weak ballistic target using elliptical hough transform. Proceedings of IET International Radar Conference.Piscataway, NJ, USA: IEEE, 2013:345--351.

[12]

T CELIK. Two-dimensional histogram equalization and contrast enhancement. PatterRecognition, 2012, 45(10):3810--3824.

Digital Library

[13]

CHEN Hong, ZHANG Yanxin, ZHU Xiangling. Star map enhancement method based on background suppression. Journal of PLA University of Science and Technology (Natural Science Edition), 2015, 16(2):109--113.

[14]

ZHENG Enming, ZHANG Enbin, SUN Changyu. An optimization approach for beam forming based on reset covariance matrix. Journal of vibration and shock, 2015, 34(17):185--190.

[15]

STRUZINSKI W A, LOWE E D. A Performance comparison of four noise background normalization schemes proposed for signal detection systems. Journal of Acoustical Society of America, 1984, 76(6):1738--1742.

[16]

SHAPIRO J H, GREEN T J. Performance of split window mutipass-mean noise spectral estimations. IEEE Transactions on Aerospace and Electronic systems, 2000, 36(4):1360--1370.

[17]

SUOJOKI T, TABUS I. A novel efficient normalization technique for sonar detection. Proceedings of the 2002 International Symposium on Underwater Technology. Tokyo, Japan: Society for Underwater Technology, 2002:296--301.

[18]

ARBONE C P, KAY S M. A novel normalization algorithm based on the three dimensional minimum variance spectral estimator. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(1):430--448.

[19]

Li Qihu. Digital sonar design principle. Hefei: Anhui Education Press, 2002:127--133.

[20]

Zhang Yijin, Image Segmentation. Beijing, Science Press, 2001:9--54

Cited By

Hamid UWaqas KAli SIrfan M(2024)On Efficient Signal Processing Solutions for Multichannel Sensor Array Applications2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR)10.1109/ICIESTR60916.2024.10798399(1-6)Online publication date: 14-May-2024
https://doi.org/10.1109/ICIESTR60916.2024.10798399
Ahmed AHamid UAli SMasud A(2024)On Subarray Based Beamforming Techniques for Target Detection Using Underwater Sensor Arrays2024 21st International Bhurban Conference on Applied Sciences and Technology (IBCAST)10.1109/IBCAST61650.2024.10877202(25-29)Online publication date: 20-Aug-2024
https://doi.org/10.1109/IBCAST61650.2024.10877202

Index Terms

A Weak Target Enhancement Method in the Bearing Time Recording
1. Theory of computation
  1. Theory and algorithms for application domains

Recommendations

Spiking cortical model for multifocus image fusion

Spiking Cortical Model (SCM) is derived from primate visual cortex. It has a high sensitivity for low intensities of stimulus, but low sensitivity for high intensities, and is suitable for image processing. This paper adopts an improved SCM for ...
The Analysis of Image Enhancement for Target Detection
Advances in Swarm Intelligence
Abstract
In the process of automatic detection and recognition based on image, the quality of the detected images affects the target detection and recognition results. To solve the problem of low contrast and high signal-to-noise ratio of the target image ...
A New Method for Infrared Weak Small Target Enhancement Based on Image Fusion
WIAMIS '07: Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services

A new method for infrared weak small target enhancement based on image fusion was presented. The structure of this method is two times fusion. In first fusion stage, the simple image fusion method is used to fuse the continuous frames. In second fusion ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

ICDSP '19: Proceedings of the 2019 3rd International Conference on Digital Signal Processing

February 2019

170 pages

ISBN:9781450362047

DOI:10.1145/3316551

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 February 2019

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ICDSP 2019

ICDSP 2019: 2019 3rd International Conference on Digital Signal Processing

February 24 - 26, 2019

Jeju Island, Republic of Korea

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
85
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Hamid UWaqas KAli SIrfan M(2024)On Efficient Signal Processing Solutions for Multichannel Sensor Array Applications2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR)10.1109/ICIESTR60916.2024.10798399(1-6)Online publication date: 14-May-2024
https://doi.org/10.1109/ICIESTR60916.2024.10798399
Ahmed AHamid UAli SMasud A(2024)On Subarray Based Beamforming Techniques for Target Detection Using Underwater Sensor Arrays2024 21st International Bhurban Conference on Applied Sciences and Technology (IBCAST)10.1109/IBCAST61650.2024.10877202(25-29)Online publication date: 20-Aug-2024
https://doi.org/10.1109/IBCAST61650.2024.10877202

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten