Principal component analysis and minimum description length criterion based through wall image enhancement

Author

Riaz, M.M. ; Ghafoor, Abdul ; Khurshid, Muhammad Hasnat

Author_Institution

Dept. of Electr. Eng., Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan

fYear

2013

fDate

21-26 July 2013

Firstpage

2513

Lastpage

2516

Abstract

Principal component analysis and minimum description length criterion based image enhancement is proposed for through wall imaging. Minimum description length criterion is used with principal component analysis to find target eigen values. Simulation results compared on the basis of mean square error, peak signal to noise ratio and visual inspection shows the significance of proposed scheme.

Keywords

eigenvalues and eigenfunctions; image enhancement; inspection; mean square error methods; principal component analysis; walls; mean square error; minimum description length criterion; peak signal to noise ratio; principal component analysis; target eigenvalues; through wall imaging; visual inspection; wall image enhancement; Antennas; Clutter; Image enhancement; Imaging; Noise; Principal component analysis; Radar imaging; Image Enhancement; Minimum Description Length; Principal Component Analysis; Through Wall Imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6723332

Filename

6723332