Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723332
