[1]徐立中,等.多源监测信息融合仿生复眼型系统模式及感知计算机理[J].智能系统学报,2008,3(04):328-335.
 XU L i-zhong,SH IAi-ye,et al.A perceptual and computationalmechan ism for bion ic compound eye systems with multi-source information fusion[J].CAAI Transactions on Intelligent Systems,2008,3(04):328-335.
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多源监测信息融合仿生复眼型系统模式及感知计算机理(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第3卷
期数:
2008年04期
页码:
328-335
栏目:
出版日期:
2008-08-25

文章信息/Info

Title:
A perceptual and computationalmechan ism for bion ic compound eye systems with multi-source information fusion
文章编号:
1673-4785 (2008) 04-0328-08
作者:
徐立中1 2 石爱业1 2 黄凤辰1 2 马贞立1
1. 河海大学计算机及信息工程学院,江苏南京210098;
2. 河海大学通信与信息系统工程研究所,江苏南京 210098
Author(s):
XU L i-zhong1 2 SH IAi-ye1 2 HUANG Feng-chen1 2 MA Zhen-li1
1. College of Computer and Information Engineering, HohaiUniversity, Nanjing 210098, China;
2. Institute of Communication and In- formation System Engineering, HohaiUniversity, Nanjing 210098, China
关键词:
信息融合遥感图像处理仿生复眼水环境监测
Keywords:
information fusion p rocessing of remotely sensed images bionic compound eye water environmentmo- nitoring
分类号:
X87
文献标志码:
A
摘要:
借鉴昆虫复眼获取与处理信息的机理和过程来构造多源、多尺度监测信息融合仿生处理系统模式. 在水资源水环境的空中、地面多传感器时空定量监测应用中,多种卫星遥感传感器和地面监测传感器被设计“集成”在一个虚拟的仿生复眼平台上,通过模仿蝇类昆虫视觉信息获取和生物神经网络感知与计算的机理,实现大场景(LF) 、小场景( SF)的协同监测和专题信息融合与决策. 提出了空中、地面多传感器时空定量信息获取与处理的仿蝇复眼型信息融合系统模式,设计了基于仿蝇复眼感知与计算机理的多源信息融合工程模型和算法,包括虚拟复眼设计,虚拟复眼图像的预处理模型,LF系统和SF系统的感知与计算机理以及复眼图像超分辨率重构算法. 仿真实验中验证了空中、地面多源多尺度监测信息融合的仿生复眼型系统模式、LF和SF系统计算模型以及复眼图像超分辨率重构的可行性与合理性.
Abstract:
The compound eyes of flying insects are highly efficient at p rocessing received information. The authors imitated this action when develop ing a bionic compound eye system to monitorwater resources by fusing quantitative space2time information obtained from many sensors in the air and on the ground. This virtual bionic compound eye p latform integrated multip le satellite remote sensors and ground monitoring sensors. By imitating the information ac2 quisition mode of flies and the percep tual and computational mechanisms of their biological neural networks, it is possible to perform synergistic monitoring of large field (LF) and small field ( SF) data sufficient for thematic infor2 mation fusion and decision making. The p roposed mathematicalmodel and algorithm were designed on the basis of percep tual and computationalmechanisms of bionic compound eyes. Work covered in the paper includes: design of virtual compound eyes, a mathematicalmodel for virtual compound eye images, percep tion and computation mecha2 nism of LF and SF systems, and super2resolution reconstruction of virtual compound eye images. The computation model of the LF and SF system and the super2resolution of virtual compound eye imageswere simulated in a series of experimentswhich p roved that the p roposed model is effective

参考文献/References:

[ 1 ]徐立中,林志贵,黄凤辰. 基于信息融合的水质自动监测系统体系结构[ J ]. 河海大学学报, 2003, 31 ( 6 ) : 6942 697.
XU L izhong, L IN Zhigui, HUANG Fengchen. Information fusion2based automatic water qualitymonitoring system [ J ]. Journal of HohaiUniversity, 2003, 31 (6) : 6942697.
[ 2 ]潘 泉,于 昕,程咏梅,等. 信息融合理论的基本方法与进展[ J ]. 自动化学报, 2003 (4) : 5992615.
PAN Quan, YU Xin, CHENG Yongmei, et al. Essential method and p rogress of information fusion theory[ J ]. Acta Automatica Sinica, 2003 (4) : 5992615.
[ 3 ]XU L izhong, L IN Zhigui. Qualitative analysis and quanti2 fied evaluation of information fusion efficiency in multi2sen2 sor systems[ J ]. Dynamics of Continuous Discrete and Im2 pulsive Systems SeriesB:App lications &Algorithms, 2005, 1 (1) : 2082212.
[ 4 ]石爱业,徐立中,黄凤辰. 基于神经网络———证据理论的遥感图像数据融合与湖泊水质状况识别[ J ]. 中国图象图形学报, 2005, 10 (3) : 3722377.
SH IAiye, XU L izhong, HUANG Fengchen. Remote2sensed images fusion and lake water quality identification based on neural networks and evidence theory[ J ]. Journal of Image and Graphics, 2005, 10 (3) : 3722377.
 [ 5 ]郭爱克. 计算神经科学[M ]. 上海:上海科技教育出版社, 2000.
[ 6 ]戴昌达,姜小光, 唐伶俐. 遥感图像应用处理与分析 [M ]. 北京:清华大学出版社, 2004.
[ 7 ] PARK S C, PARKM K, El2SAM IE F A. Superresolution image reconstruction: a technical overview [ J ]. IEEE Sig2 nal ProcessingMagazine, 2003, 20 (3) : 21236.
[ 8 ]L IMin, XU L izhong. Reconstruction of bionic compound eye images based on superresolution algorithm [ C ] / /Proceedings of the IEEE International Conference on Integration Technology. Shenzhen, 2007, 20224.
[ 9 ]LU Y, INAMURA M. Superresolution of the undersamp led and subp ixel shifted image sequence by a neural network [ J ]. International Journal of Imaging Systems and Technol2 ogy, 2004, 14 (1) : 8215

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备注/Memo

备注/Memo:
收稿日期: 2007-11-14.
基金项目:国家自然科学基金资助项目(60774092) ;高等学校博士学科点专项科研基金资助项目( 20070294027) ;江苏省高技术研究重大项目(BG2006003) .
作者简介:
徐立中,男, 1958年生,教授,博士生导师,计算机及信息工程学院副院长,通信与信息系统工程研究所所长, 中国电子学会高级会员,中国计算机学会高级会员,中国神经网络委员会委员,江苏省“333 工程”培养人选,江苏省高校“青蓝工程”中青年学术带头人,南京市有突出贡献的中青年专家,江苏省电子学会信号与线路专业委员会委员,江苏省计算机学会人工智能专业委员会委员,江苏省制造业信息化示范工程咨询专家组专家,主要研究方向为信息获取与处理、遥测遥控、智能信息系统. 主持和完成8项国家和省部级科技计划项目, 10余项测控系统和设备的研制工作,曾获江苏省科技进步二等奖2项,三等奖4项,获国家发明专利3项,实用新型专利6项,计算机软件著作权证书2项, 发表学术论文100余篇,出版著作4部.   
石爱业,男, 1969年生,讲师,主要研究方向为信息融合、图像处理与分析、遥感技术应用. 发表学术论文10余篇,出版专著1部.
黄凤辰,男, 1964年生,副研究员, 中国电子学会高级会员,主要研究方向为遥测遥控、信号处理与系统. 获国家专利4项,发表学术论文10余篇.
通信作者:徐立中. E2mail: lzhxu@hhu. edu. cn.
更新日期/Last Update: 2009-05-18