A TBD algorithm based on improved Randomized Hough Transform for dim target detection
For the detection of dim target, the track-beforedetect(TBD) methodology has been employed to integrate the targets energy through a time sequence of frames. A TBD algorithm based on improved Randomized Hough Transform for dim target detection is proposed in this paper. This algorithm uses the sequence number of frames to make sure that the point pairs are selected randomly from different frames, avoiding the unreasonable situation that initiates targets track in the same frame data. Second, it also introduces a new vote method. Based on the minimum Euclidean distance criterion, this vote method finds the optimal parameter cell to vote, making the vote result better than traditional Randomized Hough Transform (RHT). In addition, we ciot only increase the poll of the optimal parameter cell but also update the corresponding parameter, avoiding the large deviation between the recovered track and the real track By simulation, we conclude that this algorithm can detect dim target more speedily and accurately than traditional RHT, especially under the background of low Signal to Noise Ratio (SNR).
track-before-detect Randomized Hough Transform minimum Euclidean distanc dynamic-link list
Lanling Wei Xiaoling Zhang Ling Fan
School of Electronic Engineering University of Electronic Science and Technology of China Chengdu, China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
1081-1085
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）