Targets detection in SAR imagery with an optical scene mask through a change detector

The paper presents a method to detect Targets in synthetic aperture radar (SAR) images at a specified scene. Using the corresponding optical image of the specified scene, the potential regions of interests for Targets can be extracted off-line as a scene mask. Then, the SAR image can be co-registered with this scene mask and a change detector is used to detect the Targets only in the potential regions of the SAR image. Finally, the Targets can be located and detected with the change detection results. The experimental result shows that the proposed method can detect and locate airplanes well at the airport with a high resolution SAR image, and it obtains a high positive detection ratio and evidently decreases the probability of the false alarm. As a result, the proposed method fusing the SAR and optical data is appropriate in detecting airplanes at the airports, vehicles on the roads, ships in the harbours, and so on.

[1]  K.I. Ranney,et al.  Modified difference change detector for small targets in SAR imagery , 2008, IEEE Transactions on Aerospace and Electronic Systems.

[2]  Bir Bhanu,et al.  Genetic algorithm based feature selection for target detection in SAR images , 2003, Image Vis. Comput..

[3]  Boli Xiong,et al.  A change detection measure based on a likelihood ratio and statistical properties of SAR intensity images , 2012 .

[4]  Shi-qi Huang,et al.  A novel method for speckle noise reduction and ship target detection in SAR images , 2009, Pattern Recognit..

[5]  Gangyao Kuang,et al.  An Adaptive and Fast CFAR Algorithm Based on Automatic Censoring for Target Detection in High-Resolution SAR Images , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Helko Breit,et al.  Automatic Extraction of Traffic Flows Using TerraSAR-X Along-Track Interferometry , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Fátima N. S. de Medeiros,et al.  Target Detection in SAR Images Based on a Level Set Approach , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[8]  G. Anagnostopoulos SVM-based target recognition from synthetic aperture radar images using target region outline descriptors , 2009 .

[9]  D. Blacknell,et al.  Contextual information in SAR target detection , 2001 .

[10]  Geoffrey Akers,et al.  An Approach to Ground Moving Target Indication Using Multiple Resolutions of Multilook Synthetic Aperture Radar Images , 2009 .