红外双色亚图像自适应识别跟踪
Adaptive recognition and tracking of infrared bicolor quasi image
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摘要: 该文研究了红外辐射与双色辐射比,论述了红外双色亚成像的优点。对空域模糊,低信噪比的红外双色亚图像,提出了适应性强的子块灰度迭代分割二值化算法,并研究了空域模糊分割与特征参数识别。还研究了末制导初始阶段亚图像多帧积累探测和初始牵引,实现低虚、漏警率目标检测。最后研究了目标牵引到视场中心后,逐帧识别与自适应运动补偿锁定跟踪。实验表明,红外双色亚成像识别跟踪适用于静止、慢速和快速红外目标的末制导跟踪。Abstract: Infrared radiation and infrared bicolor ratio are studied in the paper. The feature of infrared bicolor quasi-imaging recognition is investigated. Robust iterative sub-block gray scale bilevel is studied for infrared bicolor quasi image with space blur and low SNR, then fuzzy spatial segmentation and feature parameter recognition are studied for 2-bit image of infrared quasi image. Infrared quasi image frame accumulation and original dragging are studied to fulfill precise target detection with lower false and omission possibility. Successive segmentation, recognition and locked tracking with adaptive movement compensation are studied for sparse quasi images. The experiment reveals that infrared bicolor quasi image tracking is adaptive to terminal guiding of stationary, slow, and fast infrared targets.
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