SAR Target Recognition Based on MRF and Gabor Wavelet Feature Extraction
Huan Ruohong, Yang Ruliang · 2008
This paper presents a method for synthetic aperture radar (SAR) target recognition based on Markov random field (MRF) segmentation and Gabor wavelet transform feature extraction. ICM algorithm which based on Markov random field is used to segment a SAR target chip into target and background two fields and generate a two-value figure. Gabor wavelet transform is applied to extract feature vectors from the two-value figure. The method is verified by recognizing three-class targets in MSTAR database. The highest average probability of correct classification arrives at 93.11%, which indicates that the approach proposed in this paper is an effective method for SAR target recognition.