Detection of point targets in space-based infrared images

MENG Xiang-long; ZHANG Wei; CONG Ming-yu; CAO Yi-ming; BAO Wen-zhuo

doi:10.3788/OPE.20101809.2094

您当前的位置：

首页 >

文章列表页 >

Detection of point targets in space-based infrared images

Article | 更新时间：2020-08-12

- Detection of point targets in space-based infrared images
- Optics and Precision Engineering Vol. 18, Issue 9, Pages: 2094-2100(2010)
- 作者机构：
  
  哈尔滨工业大学空间光学工程研究中心,黑龙江哈尔滨,150001
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20101809.2094
  CLC： TP391;TP722.5
- Received：27 June 2010，
  
  Revised：27 July 2010，
  
  Published Online：29 September 2010，
  
  Published：20 September 2010
- 稿件说明：
移动端阅览
孟祥龙, 张伟, 丛明煜, 曹移明, 鲍文卓. 天基红外图像的点目标检测[J]. 光学精密工程, 2010,18(9): 2094-2100

MENG Xiang-long, ZHANG Wei, CONG Ming-yu, CAO Yi-ming, BAO Wen-zhuo. Detection of point targets in space-based infrared images[J]. 光学精密工程, 2010,18(9): 2094-2100
孟祥龙, 张伟, 丛明煜, 曹移明, 鲍文卓. 天基红外图像的点目标检测[J]. 光学精密工程, 2010,18(9): 2094-2100 DOI： 10.3788/OPE.20101809.2094.

MENG Xiang-long, ZHANG Wei, CONG Ming-yu, CAO Yi-ming, BAO Wen-zhuo. Detection of point targets in space-based infrared images[J]. 光学精密工程, 2010,18(9): 2094-2100 DOI： 10.3788/OPE.20101809.2094.

摘要

为了研究地球同步轨道卫星红外扫描相机图像星上处理技术

分析了美国国防支援计划(DSP)卫星Phase-Ⅱ阶段和改进后的星上信息处理机的基本处理流程

提出了一种适用于星上工作环境的红外扫描图像点目标检测双通道滤波方法。首先

采用均值滤波抑制背景

对背景去除后的残差图像进行自适应门限探测;在门限滤波的同时

采用峰值判别算法对峰值数据进行检波以降低自适应门限滤波产生的虚警;最后

采用融合算法对超过门限的图像及峰值检波图像的双通道数据进行目标确认。该算法在保证高目标检测率的同时降低了虚警率

简单可行且利于硬件实时实现。实验结果表明

当目标信噪比

6时

检测概率可达99.3%(虚警率为1.310

-3

);算法实时性分析表明

处理器主频为200 MHz时

算法处理能力为56.45 Mb/s

满足天基信息处理要求。

Abstract

In order to research the on-board data processing for infrared (IR) scan images in Geostationary Earth Orbit (GEO) satellite

processing flows of data processors in the Phase Ⅱ and DSP-Ⅰ satellites for U.S. Defense Support Program (DSP) are discussed. A point target detection algorithm for IR scan images is proposed based on a two-channel filter to suit for space conditions. Firstly

the background prediction is modeled by a mean filter to suppress background clutters

and the adaptive threshold is determined on the residual image after the background elimination. Then

the peak detection is used to detect the peaks in IR images to reduce probability of false alarm originating from the adaptive threshold. Finally

the target identification algorithm using fusion technique is performed for the data from two channels. Experiments show that the proposed algorithm can get high detection probability and low false-alarm probability

and is easy and convenient for real-time operation. The obtained results indicate that the detection probability reaches 99.3% (the false alarm probability is 1.310

-3

) when the input Signal-to-Noise ratio (SNR) is no less than 6. The real-time analysis of the algorithm shows that the data processing capability can achieve 56.45 Mb/s. The proposed algorithm can meet the need of space-based data processing.

关键词

Keywords

references

张伟,曹移明,丛明煜,等. 采用杂波模型进行天基目标红外探测波段的选择

. 光学精密工程, 2010,18(2):341-347. ZHANG W, CAO Y M , CONG M Y, et al.. Band selection for space-based infrared target detection using background clutter model

. Opt. Precision Eng.,2010,18(2):341-347. (in Chinese)

郭琰,张晔,谷延锋,等. 基于二代Curvelet 变换和ProbShrink 算法的红外图像背景抑制

. 光学精密工程, 2008,16(10):1988-1994. GUO Y, ZHANG Y, GU Y F, et al.. Infrared image background suppression based on 2nd generation Curvelet transform and ProbShrink algorithm

. Opt. Precision Eng., 2008,16(10):1988-1994. (in Chinese)

王小鹏,阎国梁,裴建刚,等. 由形态学边缘模式匹配实现数字稳像

. 光学精密工程, 2009,17(3):683-689. WANG X P, YAN G L, PEI J G, et al.. Stabilization of digital image by morphological edge pattern matching

. Opt. Precision Eng., 2009,17(3):683-689. (in Chinese)

KEVIN G. Ground-based algorithms for processing MSX SPIRIT III infrared radiometer data

. SPIE, 1994,2232:217-227.

KEVIN G, JEFFERY K. Background filters for midcourse space experiment (MSX) spirit III theater midcourse scenarios and their impact to object detection and estimation performance

. SPIE,1995,2484:424-432.

PFEIFFER C, MASSON B L. Technology demonstration by the onboard signal and data processor . Johns Hopkins APL Technical Digest, 1996,17(2):237-245.

刘靳,姬红兵. 基于非平稳背景下的红外小目标检测

. 电子与信息学报,2010,32(6):1295-1300. LIU J, JI H B. IR small targets detection based on non-homogeneous background

.Journal of Electronics & Information Technology,2010,32(6):1295-1300. (in Chinese)

Col John Kidd and 1 Lt Holly Caldwell.Defense Support Program: Support to ia Changing World . AlAA Space Programs and Technologies Conference, 1992,577:1-36.

张伟,孟祥龙,丛明煜, 等. 天基红外扫描图像点目标检测算法

. 红外与激光工程,2009,38(5):921-925. ZHANG W, MENG X L, CONG M Y, et al.. Algorithm of space point target detection for IR scan images

. Infrared and Laser Engineering, 2009,38(5):921-925 (in Chinese)

王文龙,韩保君,张红萍. 一种海空背景下红外小目标检测新算法

. 光子学报,2009,38(3):725-728. WANG W L,HAN B J,ZHANG H P. A new algorithm of small target detection for ifrared image in background of sea and sky

. Acta Photonica Sinica, 2009,38(3):725-728.(in Chinese)

RELLIER G,DESCOMBES X,FALZONETAL F. Texture feature analysis using a Gauss-Markov model in hyperspectral image classification

. IEEE Transactions on Geoscience and Remote Sensing, 2004,42(7):1543-1551.

Views

574

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Multi-feature cross UAV image detection algorithm under cross-layer attentional interaction

Identification and suppression of stars under large range of star field density variation

Target detection using spectral unmixing

Mandibular fracture detection with 3M-YOLOv5 network based on enhanced feature extraction capability

Lightweight target detection network for UAV platforms

Related Author

ZHANG Zhihao

DU Lixia

HOU Yue

HAO Ziwei

YIN Jie

YANG Yukai

GU Jan

WANG Janli

Related Institution

College of Electronic and Information Engineering， Lanzhou Jiaotong University

Unit of PLA

Jilin Provincial Key Laboratory of Intelligent Wavefront Sensing and Control

University of Chinese Academy of Sciences

Changchun Institute of Optics，Fine Mechanics and Physics，Chinese Academy of Sciences

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰