Title :
SAR Target Recognition Based on MRF and Gabor Wavelet Feature Extraction
Author :
Ruohong, Huan ; Ruliang, Yang
Author_Institution :
China; Grad. Sch., Chinese Acad. of Sci., Beijing
Abstract :
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.
Keywords :
Markov processes; feature extraction; geophysical techniques; image recognition; image segmentation; remote sensing by radar; synthetic aperture radar; Gabor wavelet transform; ICM algorithm; Iterated Conditional Mode; MRF segmentation; MSTAR; Markov random field; Moving and Stationary Target Acquisition and Recognition; SAR; feature extraction; synthetic aperture radar; target recognition; two-value figure; Feature extraction; Gabor filters; Image databases; Image segmentation; Markov random fields; Support vector machines; Synthetic aperture radar; Target recognition; Testing; Wavelet transforms; Feature Extraction; Synthetic Aperture Radar (SAR); Target Recognition;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779142
