Title :
An improved analog AGC for TD-SCDMA receiver
Author :
Zhou Ning ; Zai-ming Li
Author_Institution :
UESTC, Chengdu
Abstract :
A method for ballistic trajectory detection based on multiscale morphological reconstruction is presented. The morphological gray reconstruction algorithm is used for background estimation, and the image is binarized to extract suspicious objects in single frame firstly. Then according to the shell´s agglomeration characteristics, the multiscale morphological binary reconstruction could be applied for eliminating false targets. Finally, ballistic trajectory is identified based on the shell´s dynamic characteristics by multi-frame data fusion. Our simulation results show that the multiscale morphological reconstruction has excellent practical value for ballistic trajectory detection in image sequences.
Keywords :
ballistics; image reconstruction; image sequences; sensor fusion; ballistic dim trajectory detection; image sequence; multiframe data fusion; multiscale morphological gray reconstruction; shell agglomeration characteristics; Data mining; Image reconstruction; Image segmentation; Image sequences; Infrared detectors; Morphology; Reconstruction algorithms; Target tracking; Trajectory; Video sequences;
Conference_Titel :
Communications, Circuits and Systems, 2007. ICCCAS 2007. International Conference on
Conference_Location :
Kokura
Print_ISBN :
978-1-4244-1473-4
DOI :
10.1109/ICCCAS.2007.4348141
