A fast algorithm based on the grayscale distribution of infrared target and the weighted kernel function was proposed for the moving target detection(MTD) in dynamic scene of image series. This algorithm is used to de...A fast algorithm based on the grayscale distribution of infrared target and the weighted kernel function was proposed for the moving target detection(MTD) in dynamic scene of image series. This algorithm is used to deal with issues like the large computational complexity, the fluctuation of grayscale, and the noise in infrared images. Four characteristic points were selected by analyzing the grayscale distribution in infrared image, of which the series was quickly matched with an affine transformation model. The image was then divided into 32×32 squares and the gray-weighted kernel(GWK) for each square was calculated. At last, the MTD was carried out according to the variation of the four GWKs. The results indicate that the MTD can be achieved in real time using the algorithm with the fluctuations of grayscale and noise can be effectively suppressed. The detection probability is greater than 90% with the false alarm rate lower than 5% when the calculation time is less than 40 ms.展开更多
随着雷达技术的广泛应用,雷达也面临诸多挑战,在对微弱目标检测时,由于直达波回波和多径回波同时存在导致无法准确检测到目标,因此通常将多径回波当作干扰。然而,可以利用多径信号中存在的目标信息来优化探测性能。因此,本文提出一种新...随着雷达技术的广泛应用,雷达也面临诸多挑战,在对微弱目标检测时,由于直达波回波和多径回波同时存在导致无法准确检测到目标,因此通常将多径回波当作干扰。然而,可以利用多径信号中存在的目标信息来优化探测性能。因此,本文提出一种新的利用多径信号增强直达波信号的微弱目标增强算法(Multipath Signal Exploitation,MSE),算法通过构造两个位移函数在距离频域慢时间域对回波进行补偿,消除了不同初始距离的影响,将多径信号回波集中在直达波所在位置。然后对补偿后的回波和直达波沿快时间维求和,进一步增强了回波的能量。此外,当存在多个目标时,MSE算法可以消除多径回波的干扰,并且利用多径回波增强多目标的信号能量,以保证在多个目标的多径环境下算法仍然有效。最后进行了仿真实验,结果证明了MSE算法在多目标场景下的有效性。展开更多
基金Project(61101185)supported by the National Natural Science Foundation of China
文摘A fast algorithm based on the grayscale distribution of infrared target and the weighted kernel function was proposed for the moving target detection(MTD) in dynamic scene of image series. This algorithm is used to deal with issues like the large computational complexity, the fluctuation of grayscale, and the noise in infrared images. Four characteristic points were selected by analyzing the grayscale distribution in infrared image, of which the series was quickly matched with an affine transformation model. The image was then divided into 32×32 squares and the gray-weighted kernel(GWK) for each square was calculated. At last, the MTD was carried out according to the variation of the four GWKs. The results indicate that the MTD can be achieved in real time using the algorithm with the fluctuations of grayscale and noise can be effectively suppressed. The detection probability is greater than 90% with the false alarm rate lower than 5% when the calculation time is less than 40 ms.
文摘随着雷达技术的广泛应用,雷达也面临诸多挑战,在对微弱目标检测时,由于直达波回波和多径回波同时存在导致无法准确检测到目标,因此通常将多径回波当作干扰。然而,可以利用多径信号中存在的目标信息来优化探测性能。因此,本文提出一种新的利用多径信号增强直达波信号的微弱目标增强算法(Multipath Signal Exploitation,MSE),算法通过构造两个位移函数在距离频域慢时间域对回波进行补偿,消除了不同初始距离的影响,将多径信号回波集中在直达波所在位置。然后对补偿后的回波和直达波沿快时间维求和,进一步增强了回波的能量。此外,当存在多个目标时,MSE算法可以消除多径回波的干扰,并且利用多径回波增强多目标的信号能量,以保证在多个目标的多径环境下算法仍然有效。最后进行了仿真实验,结果证明了MSE算法在多目标场景下的有效性。
