Single-Pass Polarimetric SAR Interferometry for Vessel Classification

This paper presents a novel method for vessel classification based on single-pass polarimetric synthetic aperture radar (SAR) interferometry. It has been developed according to recent ship scattering studies that show that the polarimetric response of many types of vessels can be described by trihedral- and dihedral-like mechanisms. The adopted methodology is quite simple. The input interferometric data are decomposed in terms of the Pauli basis, and hence, one height image is derived for each simple mechanism. Then, the local maxima of these images are isolated, and a 3-D map of scatters is generated. The correlation of this map with the scattering distribution expected for a set of reference ships provides the final classification decision. The performance of the proposed method has been tested with the orbital SAR simulator developed at Universitat Politecnica de Catalunya. Different vessel models have been processed with a sensor configuration similar to the incoming TanDEM-X system. The analysis of diverse vessel bearings, vessel speeds, and sea states shows that the map of scatters matches reasonably the geometry of ships allowing a correct identification even for adverse environmental conditions.

[1]  Gregory Zilman,et al.  The speed and beam of a ship from its wake's SAR images , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Zhishun Li,et al.  Classification of ship-radiated signals via chaotic features , 2003 .

[3]  Walid Tabbara,et al.  An interferometric coherence optimization method in radar polarimetry for high-resolution imagery , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[4]  S. Musman,et al.  Automatic recognition of ISAR ship images , 1996 .

[5]  Gerhard Krieger,et al.  The TanDEM-X Mission Concept , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

[6]  Juan M. Rius,et al.  Orbital Single-pass interferometry for vessel detection and classification , 2006 .

[7]  Eric Pottier,et al.  A review of target decomposition theorems in radar polarimetry , 1996, IEEE Trans. Geosci. Remote. Sens..

[8]  Robert Klepko,et al.  Hierarchical classifier design for airborne SAR images of ships , 1998, Defense, Security, and Sensing.

[9]  Achim Roth,et al.  Status of the TerraSAR-X Mission , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[10]  Yanning Zhang,et al.  An efficient method of radar target classification , 2001, 2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559).

[11]  Irena Hajnsek,et al.  Polarimetric and interferometric characterization of coherent scatterers in urban areas , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[12]  R. Keith Raney,et al.  On the use of permanent symmetric scatterers for ship characterization , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Kazuo Ouchi,et al.  Nonuniform azimuth image shift observed in the Radarsat images of ships in motion , 2002, IEEE Trans. Geosci. Remote. Sens..

[14]  Jordi J. Mallorquí,et al.  Polarimetric SAR Interferometry simulator of complex targets , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[15]  T. Thayaparan,et al.  Evaluation of ionospheric sporadic-E clutter in an arctic environment for the assessment of high-frequency surface-wave radar surveillance , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Jordi J. Mallorqui,et al.  TRI-DIMENSIONAL VESSEL CLASSIFICATION PATTERNS INFERRED VIA SINGLE-PASS POLARIMETRIC SAR INTERFEROMETRY , 2006 .

[17]  Juan M. Rius,et al.  High-frequency RCS of complex radar targets in real-time , 1993 .

[18]  Ridha Touzi,et al.  Characterization of target symmetric scattering using polarimetric SARs , 2002, IEEE Trans. Geosci. Remote. Sens..

[19]  Khalid Jamil,et al.  Radar Scattering From a Rolling Target Floating on a Time-Evolving Rough Sea Surface , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Jordi J. Mallorquí,et al.  On the Usage of GRECOSAR, an Orbital Polarimetric SAR Simulator of Complex Targets, to Vessel Classification Studies , 2006, IEEE Transactions on Geoscience and Remote Sensing.