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- Title
A NOVEL SAR TARGET DETECTION ALGORITHM BASED ON CONTEXTUAL KNOWLEDGE.
- Authors
Fei Gao; Achang Ru; Jinping Sun; Hussain, Amir
- 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 the proposed algorithm can effectively improve target detection rate and reduce false alarms compared with conventional CA-CFAR.
- Subjects
SYNTHETIC aperture radar; CONTEXTUAL learning; MARKOV random fields; FALSE alarms; ELECTRONIC pulse techniques
- Publication
Progress in Electromagnetics Research, 2013, Vol 142, p123
- ISSN
1070-4698
- Publication type
Article
- DOI
10.2528/pier13062403