Title :
Polarimetrically-Persistent-Scatterer-Based Automatic Target Recognition
Author :
Giusti, Elisa ; Martorella, Marco ; Capria, Amerigo
Author_Institution :
Dept. of Inf. Eng., Univ. of Pisa, Pisa, Italy
Abstract :
Reliable automatic target recognition (ATR) systems based on inverse synthetic aperture radar (ISAR) images require a robust feature selection. An ATR system based on polarimetric ISAR images has been recently proposed that extracts bright scatterers and uses their polarimetric signatures to define classification features. Since bright scatterers could be the results of multiple scattering, the concept of polarimetrically persistent scatterers (PPSs) has been introduced in a recent work. PPS is usually associated with single scattering mechanism and, therefore, may prove to be more robust for classification purposes. In this paper, an ATR system is defined that makes use of PPS. Furthermore, a detailed analysis is carried out to emphasize the meaning of PPSs when used for ATR.
Keywords :
feature extraction; geophysical image processing; geophysical techniques; image recognition; radar polarimetry; remote sensing by radar; synthetic aperture radar; automatic target recognition system; bright scattering analysis; image classification; inverse synthetic aperture radar images; polarimetric ISAR image; polarimetrically-persistent-scatterer-based method; single scattering mechanism; Estimation; Feature extraction; Parametric statistics; Robustness; Scattering; Target recognition; Target tracking; Automatic target recognition (ATR); inverse synthetic aperture radar (SAR) (ISAR); polarimetry;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2011.2164804