红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2013年
8期
2288-2293
,共6页
薛永宏%安玮%张涛%张寅生
薛永宏%安瑋%張濤%張寅生
설영굉%안위%장도%장인생
扩展马尔可夫随机场%自适应目标检测%目标形状
擴展馬爾可伕隨機場%自適應目標檢測%目標形狀
확전마이가부수궤장%자괄응목표검측%목표형상
extended Markov random field%adaptive target detection%target shape
针对天基红外监视系统中不同形状目标的联合检测问题,提出基于扩展马尔可夫随机场的自适应目标检测算法。首先分析了天基红外监视系统中的目标特性,在此基础上以典型目标形状为模板,构建了扩展的马尔可夫随机场邻域系统;其次构建了新的马尔可夫势函数,并利用红外图像中背景与目标之间的马尔可夫势差异,将复杂背景中不同形状目标联合检测问题转换为马尔可夫势差异的判别问题,有效解决了马尔可夫随机场理论框架下混合形状目标检测问题。仿真试验结果表明,所提出的算法能够根据目标形状的变化自适应地检测各类目标,并可在不同图像信杂比条件下进行目标检测处理,具有较强的鲁棒性。
針對天基紅外鑑視繫統中不同形狀目標的聯閤檢測問題,提齣基于擴展馬爾可伕隨機場的自適應目標檢測算法。首先分析瞭天基紅外鑑視繫統中的目標特性,在此基礎上以典型目標形狀為模闆,構建瞭擴展的馬爾可伕隨機場鄰域繫統;其次構建瞭新的馬爾可伕勢函數,併利用紅外圖像中揹景與目標之間的馬爾可伕勢差異,將複雜揹景中不同形狀目標聯閤檢測問題轉換為馬爾可伕勢差異的判彆問題,有效解決瞭馬爾可伕隨機場理論框架下混閤形狀目標檢測問題。倣真試驗結果錶明,所提齣的算法能夠根據目標形狀的變化自適應地檢測各類目標,併可在不同圖像信雜比條件下進行目標檢測處理,具有較彊的魯棒性。
침대천기홍외감시계통중불동형상목표적연합검측문제,제출기우확전마이가부수궤장적자괄응목표검측산법。수선분석료천기홍외감시계통중적목표특성,재차기출상이전형목표형상위모판,구건료확전적마이가부수궤장린역계통;기차구건료신적마이가부세함수,병이용홍외도상중배경여목표지간적마이가부세차이,장복잡배경중불동형상목표연합검측문제전환위마이가부세차이적판별문제,유효해결료마이가부수궤장이론광가하혼합형상목표검측문제。방진시험결과표명,소제출적산법능구근거목표형상적변화자괄응지검측각류목표,병가재불동도상신잡비조건하진행목표검측처리,구유교강적로봉성。
Aiming at the problem of combination detection of targets with various shapes in space based infrared surveillance system, an adaptive target detection method based on extended Markov random field (E-MRF) was proposed. First, the target characteristics in space based infrared surveillance system were analyzed and the extended MRF neighborhood system was established by using the typical target shapes as templates. Then the new MRF potential function was constructed. By using the potential differences between the infrared background and target, the detection problem of targets with various shapes under complex background was formulated as a discrimination problem of MRF potential function and finally the problem of mixed shape targets detection under MRF theory framework was efficiently solved. Simulation and experimental results show that the proposed method can adaptively adjust the operator according to the target shapes and perfectly detect targets with different shapes under various image SCRs. So the proposed method has a stabile performance.