紅外雙色亞圖像自適應(yīng)識別跟蹤
Adaptive recognition and tracking of infrared bicolor quasi image
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摘要: 該文研究了紅外輻射與雙色輻射比,論述了紅外雙色亞成像的優(yōu)點(diǎn)。對空域模糊,低信噪比的紅外雙色亞圖像,提出了適應(yīng)性強(qiáng)的子塊灰度迭代分割二值化算法,并研究了空域模糊分割與特征參數(shù)識別。還研究了末制導(dǎo)初始階段亞圖像多幀積累探測和初始牽引,實(shí)現(xiàn)低虛、漏警率目標(biāo)檢測。最后研究了目標(biāo)牽引到視場中心后,逐幀識別與自適應(yīng)運(yùn)動補(bǔ)償鎖定跟蹤。實(shí)驗表明,紅外雙色亞成像識別跟蹤適用于靜止、慢速和快速紅外目標(biāo)的末制導(dǎo)跟蹤。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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