DocumentCode :
2550865
Title :
Use of Imaging Probability Function to Reduce Ghost Image
Author :
Hu, Yong-Zhong ; Li, Ting-Jun ; Zhou, Zheng-Ou
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear :
2008
fDate :
13-15 Dec. 2008
Firstpage :
185
Lastpage :
188
Abstract :
Through the wall imaging (TWI) is a difficult but important task for both law enforcement and military missions. Getting information on both the internal features of a structure and the location of people inside is playing an important role in many fields such as anti-terrorism, search and rescue hostage, and barricade situations. Up to now, many researchers have developed diverse experimental systems, most of which are based on linear antenna array to get the image of objects. However, the backward projection (BP) algorithm based on ellipse curves usually generates additional ghost images. In this paper, the algorithm using the imaging probability function (IPF) to reduce the ghost images is proposed and simulated. The results of simulation show that this approach is feasible.
Keywords :
curve fitting; image processing; linear antenna arrays; probability; anti-terrorism; backward projection algorithm; barricade situations; diverse experimental systems; ellipse curves; ghost image; imaging probability function; law enforcement; linear antenna array; military missions; search and rescue hostage; through the wall imaging; Aperture antennas; Attenuation; Electronic mail; Image reconstruction; Linear antenna arrays; Microwave imaging; Radar antennas; Radar imaging; Radar scattering; Receiving antennas; BP imaging algorithm; ghost image; imaging probability function; linear antenna array;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3427-5
Electronic_ISBN :
978-1-4244-3426-8
Type :
conf
DOI :
10.1109/ICACIA.2008.4770001
Filename :
4770001
Link To Document :
بازگشت