Title :
A new approach for landmine discrimination in SAR images
Author :
Yu-Ming Wang ; Qian Song ; Han-hua Zhang ; Xiao-tao Huang ; Zhi-min Zhou
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
Landmine detection is an available application of Synthetic Aperture Radar (SAR). According to the double-hump structure of a landmine in SAR images, a new approach is proposed for landmine discrimination with sparse representation. First, the total variation (TV) algorithm is used to denoise. Second, a sub-dictionary is obtained within the narrow limits of the Gabor dictionary. Third, the sparse reconstruction mean square error (MSE) is calculated for classification. The experimental results indicate that the proposed approach is effective for landmine discrimination.
Keywords :
dictionaries; image classification; image reconstruction; image representation; image sensors; landmine detection; mean square error methods; radar imaging; synthetic aperture radar; Gabor dictionary; MSE; SAR imaging; TV algorithm; double-hump structure; image classification; image denoising; landmine detection discrimination; mean square error; sparse representation; synthetic aperture radar; total variation algorithm; Clutter; Dictionaries; Feature extraction; Image reconstruction; Landmine detection; Synthetic aperture radar; TV; Mean Square Error (MSE); Total Variation (TV); landmine detection; sparse representation;
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2547-9
DOI :
10.1109/IASP.2012.6425019
