基于坐標(biāo)變換與隨機(jī)Hough變換的拋物線運(yùn)動(dòng)目標(biāo)檢測(cè)算法
An Algorithm of Detecting Moving Target with Parabolic Track Using Coordinate Transform and Randomized Hough Transform
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摘要: 該文提出了一種在雷達(dá)坐標(biāo)平面中檢測(cè)勻加速機(jī)動(dòng)目標(biāo)拋物線軌跡的新算法。該算法將拋物線方程的坐標(biāo)變換與隨機(jī)Hough變換三點(diǎn)檢測(cè)法結(jié)合起來檢測(cè)任意方向的拋物線軌跡，并利用所檢測(cè)到的點(diǎn)跡的速度信息來消除虛假目標(biāo)。Monte Carlo仿真表明，在密集雜波條件下，高檢測(cè)概率會(huì)帶來高的虛警概率；而在稀疏雜波條件下，檢測(cè)效果比較好。
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關(guān)鍵詞:
- 隨機(jī)Hough變換; 拋物線;曲線檢測(cè)
Abstract: This paper proposes a new algorithm of detecting target with constant acceleration along parabolic track on the radar coordinate plane. This algorithm combines coordinate transformation of the parabolic equation and three-point detection algorithm based on randomized hough transform to detect parabolic tracks in any orientation, and employs the velocity information of detected tracks to delete false alarms. Monte Carlo simulation shows that higher detection probability goes with higher false alarm probability in the background of heavy clutters; however in the background of sparse clutters, the detection performance is better. -
Hough P V C. Method and means for recognizing complex patterns. U.S, Patent 3,069,654, Dec, 1962.[2]Carlson B D, Evans E D, Wilson S L. Search radar detection and track with the Hough transform, part Ⅰ: System concept[J].IEEE Trans. on Aerospace and Electronic Systems.1994, 30(1):102-108[3]Jafri M Z M, Deravi F. Efficient algorithm for the detection of parabolic curves. Vision Geometry III, 1994, SPIE Vol. 2356: 53-62.[4]Xu L, Oja E. Randomized Hough transform: basic mechanism, algorithms, and computational complexities[J].CVGIP: Image Understanding.1993, 57(2):131-154[5]陳燕新, 戚飛虎. 一種新的基于隨機(jī)Hough變換的橢圓檢測(cè)方法. 紅外與毫米波學(xué)報(bào), 2000, 19(1): 43-47. -
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