摘要
随着新型诱饵的快速发展,在日益复杂的目标环境中探测识别真假目标是红外探测识别系统最难解决的技术问题之一。通过分析天空背景下红外小目标,干扰物,噪音及背景的光谱特性,利用人造飞行目标光谱辐射强度高且相邻波段光谱辐射强度连续性特点,提出了一种以多光谱辐射强度和梯度相组合的目标识别高效算法。就此给出了相应的仿真算例,验证了算法在获取的红外图像信噪比很低,背景高亮度,多个诱饵干扰的条件下也能准确识别目标,具有更强的自适应性,更高的识别率和更为快捷的处理能力。
With the fast development of new baits, recognizing genuine and fake targets in the complex environment is one of the most difficult problem of the infrared detection recognition system. A flight target recognition algorithm with intensity and gradient combination multispeetral imagery is presented by using the continuous characteristic of target radiant intensity of adjacent infrared band. A simulation example with intensive noise and high luminance background is constructively calculated to verify the effectiveness of the proposed algorithm. The performance of the recognition algorithm is evaluated in numerical simulation. And the simulation results show that the proposed algorithm can achieve its intended purpose and validity.
出处
《计算机仿真》
CSCD
北大核心
2009年第1期225-228,共4页
Computer Simulation
关键词
目标识别
多光谱
光谱辐射梯度
光谱辐射强度
Target recognition
Multispeetral
Gradient of spectrum radiant
Intensity of spectrum radiant
