Vol. 142

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2013-08-23

A Novel SAR Target Detection Algorithm Based on Contextual Knowledge

By Fei Gao, Achang Ru, Jinping Sun, and Amir Hussain
Progress In Electromagnetics Research, Vol. 142, 123-140, 2013
doi:10.2528/PIER13062403

Abstract

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 this algorithm can effectively improve target detection rate and reduce false alarms compared with conventional CA-CFAR.

Citation


Fei Gao, Achang Ru, Jinping Sun, and Amir Hussain, "A Novel SAR Target Detection Algorithm Based on Contextual Knowledge," Progress In Electromagnetics Research, Vol. 142, 123-140, 2013.
doi:10.2528/PIER13062403
http://www.jpier.org/PIER/pier.php?paper=13062403

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