飞行目标的光谱辐射强度与梯度组合识别算法

Recognition algorithm for flight targets with intensity and gradient combination in multispectral image

利用人造飞行目标相邻波段光谱辐射强度连续性特点,提出了一种多光谱辐射强度和梯度相组合的目标识别快速算法.该算法首先对多光谱图像进行高通滤波实现背景抑制,而后以残余图像符合高斯统计分布为假设前提,建立了强度阈值与光谱梯度阈值的概率密度函数,最后利用3σ准则确定强度阈值以达到噪声中目标和诱饵的检测,确定光谱梯度阈值对二者进行识别,这种依据数据统计特性进行的双阈值确定方法增强了算法的自适应性能.利用此算法进行了强噪声下的目标识别仿真试验,表明了算法的有效性.

In this paper a simple algorithm for flight targets recognition with combination of radiant intensity and gradient in multispectral image is presented by using the continuous characteristics of radiant intensity of adjacent infrared band for man-made flight targets.This algorithm filters the multispectral image with a highpass filter to suppress the background.The probability density functions（PDFs） of intensity threshold and gradient threshold of spectrum radiation are constructed based on the assumption that the retained image follows the Gaussian distribution.And based on these PDFs,the 3σ rule is obtained to detect and identify the target and bait.The dual thresholds based on the statistical characteristic of data enhance the adaptive capability of the proposed algorithm.The simulation on targets recognition with the proposed algorithm example in strong noise is conducted,and results show the effectiveness of the proposed algorithm.