Shadow-aided method for ground slow moving targets detection of airborne high-resolution SAR images

In the remote observation, utilizing multi-channel high-resolution SAR images to detect slow moving ground targets will be confronted with the problem of low signal to noise ratio (SNR). Fortunately, the use of the geometric relationship between the moving object and its shadow in significant size can improve the target detection performance. In this paper, based on the shadow formation model of a slow moving target, matching conditions are designed to exclude the false targets that do not satisfy them by employing the geometric relationship between the moving object and its shadow, which can reduce false alarms and improve slow ground moving target detection performance. Compared to the traditional cell average CFAR (CA-CFAR) method, simulation results show that the shadow-aided method can improve the detection performance of 2~3dB.

[1]  M. Jahangir.  Moving target detection for synthetic aperture radar via shadow detection , 2007 .

[2]  LI Jing-wen.  Moving Targets Indication Method in Single High Resolution SAR Imagery Based on Shadow Detection , 2012 .

[3]  Mehrdad Soumekh,et al.  Signal subspace change detection in averaged multilook SAR imagery , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Zheng Bao,et al.  An Improvement in Multichannel SAR-GMTI Detection in Heterogeneous Environments , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Guisheng Liao,et al.  Target radial velocity estimation based on data reconstruction and signal fitting , 2011, 2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR).

[6]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[7]  Jean-Yves Tourneret,et al.  Knowledge-Aided STAP in Heterogeneous Clutter using a Hierarchical Bayesian Algorithm , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[8]  Roy Edgar Hansen,et al.  Shadow enhancement in SAR imagery , 2007 .

[9]  Henri Maître,et al.  Retrieval of building shapes from shadows in high resolution SAR interferometric images , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[10]  Jingjing Cui,et al.  Radar shadow and superresolution features for automatic recognition of MSTAR targets , 2005, IEEE International Radar Conference, 2005..

[11]  Ishuwa C. Sikaneta,et al.  A Generalization of DPCA Processing for Multichannel SAR/GMTI Radars , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Jiang Jin,et al.  SAR Automatic Target Recognition Based on Shadow Contour , 2013, 2013 Fourth International Conference on Digital Manufacturing & Automation.