基于變形模板的多目標(biāo)識(shí)別與定位
Multiple Target Recognition and Location Using Deformable Templates in Downward Looking Image
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摘要: 典型目標(biāo)的識(shí)別與定位是無人機(jī)應(yīng)用系統(tǒng)的關(guān)鍵技術(shù)之一，但實(shí)現(xiàn)完全地自動(dòng)目標(biāo)識(shí)別和定位存在一定的困難。該文提出一種采用變形模板進(jìn)行多個(gè)目標(biāo)的識(shí)別和定位方法，以機(jī)載傳感器的融合圖像為基礎(chǔ)，并引入人在回路的思想，設(shè)計(jì)了基于變形模板的多目標(biāo)識(shí)別和定位算法，重點(diǎn)研究了多目標(biāo)變形模板庫的構(gòu)造和相應(yīng)能量函數(shù)的定義，而變形模板的優(yōu)化采用具有保優(yōu)策略的遺傳算法實(shí)現(xiàn)。仿真實(shí)驗(yàn)表明該方法具有較高的目標(biāo)識(shí)別與定位能力，可以有效解決無人機(jī)圖像中多個(gè)典型目標(biāo)的識(shí)別與定位問題。Abstract: The typical target recognition and location is a key technique of the application system for Unmanned Aerial Vehicle (UAV), but there exists a certain difficulty in entirely automatic target recognition and location. A new method to recognize and locate multiple targets is presented in this paper. Through introducing the deformable template technique and the man-in-the-loop thought, this paper designs the multiple target recognition and location algorithm for the fused downward-looking image from UAV. The emphases of the method are laid on the construction of different deformable templates, the definition of corresponding energy functions, and the optimal search strategy. Results show that the technique of multiple target recognition and location using deformable templates is more effective and can accurately recognize and locate multiple typical targets.
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