An improved analog AGC for TD-SCDMA receiver

Author

Zhou Ning ; Zai-ming Li

Author_Institution

UESTC, Chengdu

fYear

2007

Firstpage

103

Lastpage

106

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems, 2007. ICCCAS 2007. International Conference on

Conference_Location

Kokura

Print_ISBN

978-1-4244-1473-4

Type

conf

DOI

10.1109/ICCCAS.2007.4348141

Filename

4348141