ATR by means of Polarimetric ISAR Images and multi-view 3D InISAR
Abstract
The fundamental problem of Automatic Target Recognition (ATR) is to detect and recognize objects ofinterest in an environment of clutter imaged by an imperfect sensor that introduces noise into theresulting signal [1].ATR plays a key role in in both tactical and strategic military operations. In fact, it allows for precisionstrikes against various targets with higher efficiency and reduced risks and also provides accurateinformation for Intelligence, Surveillance and Reconnaissance (IRS) operations. However, ATR is alsouseful in civil applications such as maritime and air traffic control, harbor protection, illegal maritimeactivities and border protection, alongside with a number of activities that see urban areas as typicalscenarios [2]-[7].Inverse synthetic aperture radar (ISAR) images have been extensively used for automatic targetclassification (ATC) and/or recognition (ATR) [8]-[14]. The idea of using ISAR images lies on the factthat they provide a 2D e.m. map of the target reflectivity, giving then the possibility to separatescattering centers and the advantage of exploiting 2-D features. Furthermore, the use of fullypolarimetric information, together with high resolution 2D ISAR images, has proven the ability toenhance recognition capabilities [15]-[17]. In fact, Pol-ISAR images can provide many different typesof features, both geometrical (target size, target shape, etc.) and polarimetric, which can both help thecharacterization of a target of interest.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 11, 2020
- Source ID
- N629092012062
Entities
People
- Marco Martorella
Organizations
- National Inter-University Consortium for Telecommunications
- Office of Naval Research
- United States Navy