基于變形模板的多目標識別與定位
Multiple Target Recognition and Location Using Deformable Templates in Downward Looking Image
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摘要: 典型目標的識別與定位是無人機應(yīng)用系統(tǒng)的關(guān)鍵技術(shù)之一，但實現(xiàn)完全地自動目標識別和定位存在一定的困難。該文提出一種采用變形模板進行多個目標的識別和定位方法，以機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)計了基于變形模板的多目標識別和定位算法，重點研究了多目標變形模板庫的構(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)策略的遺傳算法實現(xiàn)。仿真實驗表明該方法具有較高的目標識別與定位能力，可以有效解決無人機圖像中多個典型目標的識別與定位問題。
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關(guān)鍵詞:
- 目標識別;目標定位;變形模板;遺傳算法;人在回路;無人機
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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