This paper presents a D-S evidence reasoning based on multi-sensor system, in which two CCD cameras and one IR sensor are used to extract features for discerning missile target, jamming light cluster and fire pile. With D-S evidence reasoning algorithm, we recognize missile target and jamming light on region square feature and cluster and fire pile on position feature, respectively. The experimental results show that the recognition probability obtained by fusing the D-S evidence of three sensors is greatly improved compared with using single sensors
Multitarget detection under complex environment is a challenging task, where the measured signal wil...
The recognition of warheads in the target cloud of the ballistic midcourse phase remains a challengi...
提出了一种基于D-S证据理论算法的目标识别方法。该方法利用了两个CCD和一个热像仪分别提取弹标光源、干扰光源、随机噪声和火堆的特征向量,基于各特征的先验知识,采用D-S数据融合算法识别目标和干扰,有效...
This paper presents a D-S evidence reasoning based on multi-sensor system, in which two CCD cameras ...
In order to make full use of detection information, improve the anti-interference ability of the sys...
Abstract: In order to solve the problem of target recognition in the complex environment of the mult...
In order to solve the problem of target recognition in the complex environment of the multi-source d...
ATR system has a broad application prospect in the military field, especially in the field of modern...
A knowledge based approach and a reasoning system of multisensor data fusion (MSF) is presented. The...
A knowledge based approach and a reasoning system of multisensor data fusion (MSF) is presented. The...
A knowledge based approach and a reasoning system of multisensor data fusion (MSF) is presented. The...
Optical sensor data fusion technology is a research hotspot in the field of information science in r...
AbstractThis article discusses multi-source sensor data fusion demonstration for digital control sys...
With change of the battlefield and the development of armor technology, the detect ability of the ta...
With change of the battlefield and the development of armor technology, the detect ability of the ta...
Multitarget detection under complex environment is a challenging task, where the measured signal wil...
The recognition of warheads in the target cloud of the ballistic midcourse phase remains a challengi...
提出了一种基于D-S证据理论算法的目标识别方法。该方法利用了两个CCD和一个热像仪分别提取弹标光源、干扰光源、随机噪声和火堆的特征向量,基于各特征的先验知识,采用D-S数据融合算法识别目标和干扰,有效...
This paper presents a D-S evidence reasoning based on multi-sensor system, in which two CCD cameras ...
In order to make full use of detection information, improve the anti-interference ability of the sys...
Abstract: In order to solve the problem of target recognition in the complex environment of the mult...
In order to solve the problem of target recognition in the complex environment of the multi-source d...
ATR system has a broad application prospect in the military field, especially in the field of modern...
A knowledge based approach and a reasoning system of multisensor data fusion (MSF) is presented. The...
A knowledge based approach and a reasoning system of multisensor data fusion (MSF) is presented. The...
A knowledge based approach and a reasoning system of multisensor data fusion (MSF) is presented. The...
Optical sensor data fusion technology is a research hotspot in the field of information science in r...
AbstractThis article discusses multi-source sensor data fusion demonstration for digital control sys...
With change of the battlefield and the development of armor technology, the detect ability of the ta...
With change of the battlefield and the development of armor technology, the detect ability of the ta...
Multitarget detection under complex environment is a challenging task, where the measured signal wil...
The recognition of warheads in the target cloud of the ballistic midcourse phase remains a challengi...
提出了一种基于D-S证据理论算法的目标识别方法。该方法利用了两个CCD和一个热像仪分别提取弹标光源、干扰光源、随机噪声和火堆的特征向量,基于各特征的先验知识,采用D-S数据融合算法识别目标和干扰,有效...