A NOVEL SAR TARGET DETECTION ALGORITHM BASED ON CONTEXTUAL KNOWLEDGE

作者：Gao Fei; Ru Achang; Sun Jinping^*; Hussain Amir

来源：Progress in Electromagnetics Research-Pier, 2013, 142: 123-140.

DOI：10.2528/PIER13062403

This paper proposes a Synthetic Aperture Radar (SAR) vehicle target detection algorithm based on contextual knowledge. The proposed algorithm firstly obtains the general classification of SAR image with a Markov Random Field (MRF)-based segmentation algorithm; then modifies the prior target presence probability utilizing terrain types, distances to boundary and target aggregation degree; finally gains the detection results using improved Cell Averaging-Constant False Alarm Rate (CA-CFAR). Detections with real SAR image data show that the proposed algorithm can effectively improve target detection rate and reduce false alarms compared with conventional CA-CFAR.

• 出版日期2013
• 单位北京航空航天大学